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Cluster: 0
Download Python | Python.org
What is Kubernetes - Kubernetes
Run Python Versions in Docker: How to Try the Latest Python Release – Real Python
Docker APIs on Google Cloud Platform with Python | Towards Data Science
How to Use Docker Containers with AWS EC2 | HostAdvice
Linode
Developing and Delivering Software with Docker
Install Docker Desktop on Mac | Docker Documentation
Dockerizing Python Applications
Docker: A High Level Introduction
Docker Mastery: The Complete Toolset From a Docker Captain | Udemy
Create Docker containers for Python web apps in Visual Studio Code
Run Python Versions in Docker: How to Try the Latest Python Release – Real Python
What is Docker and How to Use it With Python (Tutorial)
Docker Documentation | Docker Documentation
Docker Hub
Understanding Communication Between Docker Containers - Cloudkul
How to Deploy Docker Containers – AWS
A Practical Introduction to Docker Compose - By Faizan Bashir
Dockerize a Flask, Celery, and Redis Application with Docker Compose — Nick Janetakis
Faster Python in Docker - Better Programming - Medium
Configure an interpreter using Docker - Help | PyCharm
Get started with Docker Compose | Docker Documentation
============================================================================
Cluster: 1
Installation — JupyterLab 0.35.4 documentation
IPython Documentation — IPython 7.3.0 documentation
Boosting Your Jupyter Notebook Productivity – Towards Data Science
Built-in magic commands — IPython 7.3.0 documentation
Using as a command line tool — nbconvert 5.4.0.dev0 documentation
GitHub - jupyter/nbconvert: Jupyter Notebook Conversion
Using IPython for parallel computing — ipyparallel 6.3.0.dev documentation
GitHub - ipython/ipyparallel: Interactive Parallel Computing in Python
Overview and getting started — ipyparallel 6.3.0.dev documentation
CoCalc - Run Jupyter Notebooks Online
Microsoft Azure Notebooks
Built-in magic commands — IPython 7.2.0 documentation
Deep Learning With Jupyter Notebooks In The Cloud (article) - DataCamp
Run Project Jupyter Notebooks On Amazon EC2
Jupyter Notebooks on AWS EC2 in 15 (mostly easy) steps
ValueError: '' does not appear to be an IPv4 or IPv6 address · Issue #3946 · jupyter/notebook · GitHub
Jupyter And R Markdown: Notebooks With R (article) - DataCamp
Overview — Jupyter Documentation 4.1.1 alpha documentation
Get started with deep learning using the AWS Deep Learning AMIs | AWS
Set up a Jupyter Notebook Server - Deep Learning AMI
Books with Jupyter
Jupyter Notebook Server with AWS EC2 and AWS VPC | Post | Coding For Entrepreneurs
Understanding Amazon SageMaker notebook instance networking configurations and advanced routing options | AWS Machine Learning Blog
Using ipyparallel — Computational Statistics in Python
JupyterLab Documentation — JupyterLab 1.1.1 documentation
GitHub - frankzickert/jupyterlab-configuration: Containerized and Script-controlled JupyterLab Project Environment
How to Setup Your JupyterLab Project Environment - Towards Data Science
Jupyter Docker Stacks — docker-stacks latest documentation
============================================================================
Cluster: 2
Charting the waters: between Bokeh and D3
d3/API.md at master · d3/d3
About this guide - Learn JS Data
Simple d3.js bar chart - bl.ocks.org
Scale functions | D3 in Depth
D3.js - Data-Driven Documents
javascript - reversed Y-axis D3 - Stack Overflow
Margin Convention - bl.ocks.org
Making Dynamic Scales and Axes | DashingD3js.com
SVG Text Element | DashingD3js.com
Force layout | D3 in Depth
5 Crucial Concepts for Learning d3.js and How to Understand Them
d3.js - Plot multiple lines in a for loop in d3 - Stack Overflow
d3.quantize / D3 / Observable
D3 4.0 Sequential Scales Explorer - bl.ocks.org
Data Visualization and D3.js | Udacity
General Update Pattern, I - bl.ocks.org
General Update Pattern, III - bl.ocks.org
How Selections Work
Data manipulation in d3.js
D3 nest examples
Nesting and Accessing Data in D3v4 | Amber Thomas Data Portfolio & Blog
d3v4 Multi-Line Chart with 2 Layers of Nesting - bl.ocks.org
============================================================================
Cluster: 3
A Guide to Creating and Hosting a Personal Website on GitHub | Jonathan McGlone | Librarian, Front-End Developer, Digital Publisher, Project Manager, Music Enthusiast, Web Noodler.
Jekyll • Simple, blog-aware, static sites | Transform your plain text into static websites and blogs
Mastering Markdown · GitHub Guides
Learning from Examples · Mindsdb
Markdown Guide: Basics, Tips and Tricks on how to use Markdown
How to Set Up & Use Atom as a Markdown Editor - Portent
GitHub
Start a new git repository
How to Add a New Remote to your Git Repo | Assembla Help Center
Adding an existing project to GitHub using the command line - GitHub Help
Renaming a repository - GitHub Help
GitHub Markdown CSS demo
Hello World · GitHub Guides
How to update your Git credentials on Windows
Getting started with Git and GitHub: the complete beginner’s guide
============================================================================
Cluster: 4
Matt Davis: A Practical Introduction to Airflow | PyData SF 2016 - YouTube
Airflow tutorial 1: Introduction to Apache Airflow - YouTube
Apache Airflow Tutorials - YouTube
GitHub - tuanavu/airflow-tutorial at v0.7
GitHub - apache/airflow: Apache Airflow
Understanding Apache Airflow’s key concepts – Dustin Stansbury – Medium
Apache Airflow Documentation — Airflow Documentation
Get started developing workflows with Apache Airflow - Michał Karzyński
Getting started with Apache Airflow – Towards Data Science
Apache-Airflow : A practical guide – Srivathsan K R – Medium
airflow.sensors.external_task_sensor — Airflow Documentation
Error while install airflow: By default one of Airflow's dependencies installs a GPL - Stack Overflow
Prefect Core - Prefect
Use conditional tasks with Apache Airflow - Guillaume Payen - Medium
airflow-tutorial/README.md at master · hgrif/airflow-tutorial · GitHub
Airflow tutorial 2: Set up airflow environment with docker - Apply Data Science
Apache Airflow Installation on Ubuntu - taufiq ibrahim - Medium
Getting Started With Airflow · GitHub
Tianlong's Blog - A Guide On How To Build An Airflow Server/Cluster
Manage Data Pipelines with Apache Airflow | Hackers and Slackers
Dynamically Generating DAGs in Airflow
Orchestration and DAG Design in Apache Airflow — Two Approaches
Creating a dynamic DAG using Apache Airflow - Towards Data Science
python - Proper way to create dynamic workflows in Airflow - Stack Overflow
Using Airflow Datastores
Airflow: Lesser Known Tips, Tricks, and Best Practises
Manage Data Pipelines with Apache Airflow
Concepts — Airflow Documentation
amazon emr - Using Json Input Variables In Airflow EMR Operator - Stack Overflow
python - Store and access password using Apache airflow - Stack Overflow
We’re All Using Airflow Wrong and How to Fix It - Bluecore Engineering - Medium
Building an AWS Serverless ML Pipeline with Step Functions
docker-airflow/README.md at master · puckel/docker-airflow · GitHub
============================================================================
Cluster: 5
10.7. glob — Unix style pathname pattern expansion — Python 2.7.16 documentation
zipfile – Read and write ZIP archive files - Python Module of the Week
zipfile — Work with ZIP archives — Python 3.7.3 documentation
command prompt - How to zip a file using cmd line? - Stack Overflow
Install Windows Subsystem for Linux (WSL) on Windows 10 | Microsoft Docs
Steps to Write and Execute a Shell Script - javatpoint
Top (Bash Reference Manual)
path - How to change the Jupyter start-up folder - Stack Overflow
How to create a universal (script) file for a Mac, based on several Terminal commands - Ask Different
Upgrading Bash on macOS - ITNEXT
Quickly Show/Hide Hidden Files on macOS Sierra, OS X El Capitan & Yosemite | Ian Lunn - Front-end Developer
Projects — DataRobot Python Client 2.16.0 documentation
Cookiecutter PyPackage — cookiecutter-pypackage 0.9.0 documentation
Getting Started — Scientific Python Cookiecutter 0.1 documentation
Uninstall VirtualBox on Mac - Complete Removal Guide
Manage dependencies using requirements.txt - Help | PyCharm
python - Find current directory and file's directory - Stack Overflow
10 Must know terminal commands and tips for productivity (Mac edition)
How To Remove Docker Images, Containers, and Volumes | DigitalOcean
============================================================================
Cluster: 6
Build High Performance Time Series Models using Auto ARIMA in Python and R
Identifying the orders of AR and MA terms in an ARIMA model
exponential_smoothing
statespace_structural_harvey_jaeger
Fast Cross Correlation and Time Series Synchronization in Python - Lex Fridman
numpy.correlate — NumPy v1.16 Manual
CRAN - Package zoo
CRAN - Package xts
smooth package | R Documentation
Tidy time series data using tsibbles | Rob J Hyndman
Forecasting Functions for Time Series and Linear Models • forecast
Chapter 4 Basic time series functions in R | Applied Time Series Analysis for Fisheries and Environmental Sciences
10.2 - Autocorrelation and Time Series Methods | STAT 462
Time Intervals - D3 wiki
datetime — Basic date and time types — Python 3.7.5rc1 documentation
RPubs - Dynamic Time Warping (DTW) and time series clustering
exponential_smoothing
Smoothing time series in Pandas | Bartosz Mikulski
Dynamic Time Warping (DTW) - Data Driven Investor - Medium
How to Build Exponential Smoothing Models Using Python: Simple Exponential Smoothing, Holt, and…
Holt-Winters Forecasting for Dummies - Part III - Gregory Trubetskoy
rinterested.github.io/statistics/acf_pacf.html
Basic Time Series Analysis
16.1 Vector Autoregressions | Introduction to Econometrics with R
============================================================================
Cluster: 7
limit of x to infty ((x-xsqrt(x))/(2x^{ 3/2 )+3x-5}) - Limit Calculator - Symbolab
Pythex: a Python regular expression editor
RegExr: Learn, Build, & Test RegEx
Regex Cheat Sheet
re — Regular expression operations — Python 3.7.2 documentation
Python String Format Cookbook – mkaz.blog
Linear Programming with Python and PuLP – Part 6 – Ben Alex Keen
Solve the Equation ln(x+6)=ln(4+2x) - Answer | Math Problem Solver - Cymath
Data Management in R | Quick-R
Subscripts and superscripts - Overleaf, Online LaTeX Editor
math.js | an extensive math library for JavaScript and Node.js
Math - JavaScript | MDN
Java Convert String to int - javatpoint
Java If ... Else
General Refine Expression Language · OpenRefine/OpenRefine Wiki
Recipes · OpenRefine/OpenRefine Wiki
Resources - OpenRefine - LibGuides at University of Illinois at Urbana-Champaign
Cymath | Math Problem Solver with Steps | Math Solving App
Desmos | Graphing Calculator
Online Derivative Calculator • Shows All Steps!
LaTeX - Mathematical Python
MathJax basic tutorial and quick reference - Mathematics Meta Stack Exchange
============================================================================
Cluster: 8
BuzzPort Login
Team_NOVA Bios - Google Sheets
Visualising My Facebook Network Clusters - Towards Data Science
Overview — Conda documentation
Simplify Your Python Project Configuration | Hackers and Slackers | Data Science & Engineering
Visual Studio Dark • TmTheme Editor
Visual Studio Dark • TmTheme Editor
Hadoop Tutorial - YDN
Sixth Edition APA Manual
Purdue OWL: Chicago Manual of Style 16th Edition
Bibme: Generate a book citation in APA
APA Citation Style | Cornell University Library
Turnitin
Publications - Association for Financial Professionals
AFP FP&A Learning System™ - Certified Corporate Financial Planning & Analysis Professional (FP&A)
IMA Nation's Capital Chapter
Microsoft Professional Program in Big Data | edX
fast.ai · Making neural nets uncool again
Simplify Your Python Project Configuration | Hackers and Slackers
Integrating Slack Alerts in Airflow - DataReply - Medium
============================================================================
Cluster: 9
Beautiful Soup Documentation — Beautiful Soup 4.4.0 documentation
Welcome | Flask (A Python Microframework)
How to use proxies with an HTTP session using the Python requests package | Calazan.com
Python Programming Tutorials
Create a simple http server with Python 3 | Daan Lenaerts
Building a Basic RestFul API in Python | Codementor
API Integration in Python – Part 1 – Real Python
Python requests.Response Object
Quickstart — Requests 2.22.0 documentation
Welcome to AIOHTTP — aiohttp 3.6.2 documentation
How to build a web application using Flask and deploy it to the cloud
Flask-Uploads — Flask-Uploads 0.1.1 documentation
Python Flask File Upload Example - Roy Tutorials
How to call file upload REST API using Postman - Roy Tutorials
More complex APIs: Upload and Download Files with Flask — Faculty 2.2.1b documentation
viveksb007 | Uploading, Processing and Downloading Files in Flask
Introduction to Postman for API Development - GeeksforGeeks
The Flask Mega-Tutorial Part XXIII: Application Programming Interfaces (APIs) - miguelgrinberg.com
Quickstart — Flask-RESTful 0.3.7 documentation
Welcome to Flask — Flask Documentation (1.1.x)
Flask-RESTful — Flask-RESTful 0.3.7 documentation
Flask: An Easy Access Door to API development - Towards Data Science
Fast scraping in python with asyncio
Template Designer Documentation — Jinja Documentation (2.11.x)
============================================================================
Cluster: 10
Creating Modules in Python 3 | DigitalOcean
Modules and Packages - Learn Python - Free Interactive Python Tutorial
Minimal Structure — Python Packaging Tutorial
Python safe method to get value of nested dictionary - Stack Overflow
Configuration files in Python · Martin Thoma
https://pyyaml.org/wiki/PyYAMLDocumentation
https://pyyaml.org
4. Code Reuse: Functions and Modules - Head First Python, 2nd Edition [Book]
The Definitive Guide to Python import Statements | Chris Yeh
Python Command Line Arguments
Ways to sort list of dictionaries by values in Python - Using lambda function - GeeksforGeeks
Python : How to Sort a Dictionary by key or Value ? – thispointer.com
Python Programming
abc — Abstract Base Classes — Python 3.7.4 documentation
Object-Oriented Programming (OOP) in Python 3 – Real Python
Welcome to Click — Click Documentation (7.x)
How to Write Go Code - The Go Programming Language
2. Writing the Setup Script — Python 3.7.5 documentation
Improve Your Python: Python Classes and Object Oriented Programming
Supercharge Your Classes With Python super() – Real Python
Working with the Python Super Function
mypy - Optional Static Typing for Python
MonkeyType — MonkeyType 19.11.3.dev1 documentation
How to share global variables between files in Python - Instructobit
functools — Higher-order functions and operations on callable objects — Python 3.7.4 documentation
A quick dive into Python’s “__slots__” - Noteworthy - The Journal Blog
Overview — Python YAML package documentation
============================================================================
Cluster: 11
Automate the Boring Stuff with Python
PY4E - Python for Everybody
Send Emails Using Python
Python Tutorials — Advance Python Tutorials documentation
Getting Started With Testing in Python – Real Python
unittest — Unit testing framework — Python 3.8.0 documentation
Python Design Patterns
Python Data Science Handbook | Python Data Science Handbook
Mocking, Monkey Patching, and Faking Functionality — Python 401 2.1 documentation
Sending Emails With Python – Real Python
DataCamp
Python for Everybody | Coursera
Applied Data Science with Python | Coursera
Intermediate Data Science: Python - Online Course | Springboard
Build Your First Open Source Python Project - Towards Data Science
Good Integration Practices — pytest documentation
Testing Your Code — The Hitchhiker's Guide to Python
pytest: helps you write better programs — pytest documentation
Logging in Python – Real Python
Improve Your Python: Understanding Unit Testing
Sending Emails With Python – Real Python
============================================================================
Cluster: 12
VMock
Download H2O 3.22.1.3
Get Started with XGBoost — xgboost 0.81 documentation
Is it possible to add .css style to Jupyter notebook from separate file? - Stack Overflow
Welcome to Bokeh — Bokeh 1.0.4 documentation
Gephi
Generating network graphs with Python and pygexf – Fredrik Bergstrand's Weblog
Apply Operations To Elements
Vi / Vim: Save And Quit The Editor Command - nixCraft
Home | Vim Cheat Sheet
NetworkX — NetworkX
Overview — H2O 3.28.0.4 documentation
Visualizing Network Graphs — Bokeh 2.0.2 Documentation
Shortest Paths — NetworkX 1.10 documentation
Visual Math Editor
ColorBrewer: Color Advice for Maps
Sticky Force Layout - bl.ocks.org
FTP - Online LaTeX Editor Overleaf
Octave-Forge download | SourceForge.net
dcc.Slider | Dash for Python Documentation | Plotly
Styling — pandas 0.25.3 documentation
ColorBrewer: Color Advice for Maps
API Documentation — nxviz 0.3 documentation
Tutorials - CatBoost. Documentation
Juno
============================================================================
Cluster: 13
SQLAlchemy - The Database Toolkit for Python
Getting Started with Python and MongoDB | MongoDB
SQLite in Python (article) - DataCamp
Practical SQLite Commands That You Don't Want To Miss
join - SQLite -- joining two subqueries - Stack Overflow
MySQL :: MySQL 8.0 Reference Manual :: 3.3.1 Creating and Selecting a Database
Getting Started with MySQL in Python (article) - DataCamp
Installing MySQL in a Mac OS X environment - Java SDK for BB OS 7.1 - BlackBerry Developer
Working with Engines and Connections — SQLAlchemy 1.3 Documentation
SQL Expression Language Tutorial — SQLAlchemy 1.3 Documentation
pandas.DataFrame.to_sql — pandas 0.25.3 documentation
Introduction to MongoDB and Python – Real Python
collection – Collection level operations — PyMongo 3.9.0 documentation
============================================================================
Cluster: 14
sklearn-pandas · PyPI
GitHub - scikit-learn-contrib/sklearn-pandas: Pandas integration with sklearn
From Pandas to Scikit-Learn — A new exciting workflow
Python Data Analysis Library — pandas: Python Data Analysis Library
Python API Reference — xgboost 0.81 documentation
Pandas and Tidy Data | Ji ZHANG's Blog
Dask — Dask 1.1.4 documentation
Creating Excel files with Python and XlsxWriter — XlsxWriter Documentation
Creating PDF Reports with Pandas, Jinja and WeasyPrint - Practical Business Python
Generating Excel Reports from a Pandas Pivot Table - Practical Business Python
openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files — openpyxl 2.5.12 documentation
HDF5 for Python
Practical Business Python -
Pandas for Panel Data – Quantitative Economics
Dask — Dask 1.1.3 documentation
Working with Collections — Dask 2.10.1+32.gd676b2d8 documentation
Why every Data Scientist should use Dask? - Towards Data Science
Overview: Why xarray? — xarray 0.13.0+2.g076f194a documentation
Handling NetCDF Files using XArray for Absolute Beginners
============================================================================
Cluster: 15
My MathWorks Account
JHU Carey Store
Mathway | Trigonometry Problem Solver
Model Selection
Python Dashboards
Be Pythonic: __init__.py - Mike Grouchy
Tutorial: Running R Jupyter Notebooks on AWS EC2 – Sophie Haynes
Meet PyCharm - Help | PyCharm
sktime — sktime 0.4.1 documentation
foreach.pdf
STATA Login
Big Data | edX
Computer Science Essentials for Software Development | edX
Slack API: Applications | Corporate & Global Finance Slack
Content Replication Using AWS Lambda and Amazon S3 | AWS Compute Blog
Python String Format Cookbook – mkaz.blog
Snowflake SQLAlchemy — Snowflake Documentation
============================================================================
Cluster: 16
seaborn: statistical data visualization — seaborn 0.9.0 documentation
Matplotlib: Python plotting — Matplotlib 3.0.2 documentation
User's Guide — Matplotlib 3.0.2 documentation
Matplotlib: Python plotting — Matplotlib 3.0.0 documentation
ggplot | Home
plotly.express: high-level interface for data visualization — 4.2 documentation
Python Plotting With Matplotlib (Guide) – Real Python
Demo Annotation Box — Matplotlib 3.2.1 documentation
seaborn.pairplot — seaborn 0.11.0 documentation
CRAN - Package corrplot
CRAN - Package WVPlots
CRAN - Package lattice
ggfortify package | R Documentation
CRAN - Package GGally
Plotting Diagnostics for Linear Models
Introduction to cowplot
CRAN - Package cowplot
plotly.express.choropleth_mapbox — 4.9.0 documentation
Customizing Matplotlib with style sheets and rcParams — Matplotlib 3.1.1 documentation
Style sheets reference — Matplotlib 3.1.1 documentation
============================================================================
Cluster: 17
MLlib | Apache Spark
Apache Spark™ - Unified Analytics Engine for Big Data
Big Data with Hadoop and Spark Online Training (With Certification) | CloudxLab
Learn Big Data Hadoop Tutorial - javatpoint
Beginners Guide to Apache Pig
Pig Latin Average Function - Thomas Henson
Apache Pig - Quick Guide - Tutorialspoint
GROUP operator in Apache Pig | SquareCog's SquareBlog
Business Analytics Online Course | Led by Expert Mentors
Big Data and Data Science Online Program | Continuing Studies
Overview - Spark 2.4.4 Documentation
pyspark package — PySpark master documentation
============================================================================
Cluster: 18
An introduction to parallel programming using Python's multiprocessing module
multiprocessing — Process-based parallelism — Python 3.8.0a2 documentation
Parallel Processing in Python - A Practical Guide with Examples | ML+
Scheduling a Python script or model to run at a prescribed time
GitHub - dbader/schedule: Python job scheduling for humans.
simpy · PyPI
Queuing System Discrete Event Simulation in Python (Process interaction) - YouTube
Events — SimPy 3.0.11 documentation
Embarrassingly parallel for loops — joblib 0.13.2 documentation
Parallel_Processing_in_Python
Getting Started with Asyncio in Python | TutorialEdge.net
Speed Up Your Python Program With Concurrency – Real Python
Python: A quick introduction to the concurrent.futures module | Abu Ashraf Masnun
Async IO in Python: A Complete Walkthrough – Real Python
concurrent.futures — Manage Pools of Concurrent Tasks — PyMOTW 3
Python 3 - An Intro to asyncio - The Mouse Vs. The Python
Parallelising Python with Threading and Multiprocessing | QuantStart
Intro to Threads and Processes in Python - Brendan Fortuner - Medium
Python Multithreading Tutorial: Concurrency and Parallelism | Toptal
Multiprocessing in Python | Set 1 (Introduction) - GeeksforGeeks
Python Async basics video (100 million HTTP requests) – Andy Balaam's Blog
Asynchronous Tasks with Flask and Redis Queue | TestDriven.io
Using Celery With Flask - miguelgrinberg.com
Welcome to Flask-SocketIO’s documentation! — Flask-SocketIO documentation
============================================================================
Cluster: 19
Tidyverse
Tidyverse Cookbook
RPubs - Joining Data in R with dplyr
RPubs - Data Processing with dplyr & tidyr
RPubs - Diagnostic Plots using ggplot2
Modelling with Tidymodels and Parsnip - Towards Data Science
GitHub - tidymodels/tidymodels: Easily Install and Load the 'Tidymodels' Packages
A Gentle Introduction to tidymodels · R Views
A Common API to Modeling and Analysis Functions • parsnip
tidyverts
============================================================================
Cluster: 20
StatsModels: Statistics in Python — statsmodels 0.9.0 documentation
StatsModels: Statistics in Python — statsmodels 0.9.0 documentation
PerformanceAnalytics package | R Documentation
Data Analysis Examples - IDRE Stats
Quick-R: Home Page
Welcome to STAT 510! | STAT 510
Advanced Data Analysis from an Elementary Point of View
Applied Statistics Using Stata: A Guide for the Social Sciences | SAGE Companion
(7) Undergraduate econometrics syllabus - YouTube
Linear Regression - Econometrics Academy
econometricsacademy - YouTube - YouTube
Statistics with R | Coursera
Introduction to Statistical Learning
1 Introduction | Introduction to Econometrics with R
API Reference — statsmodels
Publications | Rob J Hyndman
============================================================================
Cluster: 21
cse6242-2019fall-online-project-description
Blackboard
Adobe Connect @ Johns Hopkins
Baltimore Map and Parking | Johns Hopkins Carey Business School
Applied Economics | Advanced Academic Programs | Johns Hopkins University
Financial Mathematics | Johns Hopkins University Engineering for Professionals
Your Membership | Johns Hopkins Alumni
Handshake
JHU Whiting
Introduction · Django Girls Tutorial
UMUC
MyUMUC
Phi Kappa Phi - Founded in 1897 at the University of Maine Phi Kappa Phi is the nation's oldest largest and most selective honor society for all academic disciplines
Beta Gamma Sigma
Bionic Turtle | Acquire Expert Finance Skills, Pass the FRM Exam
Dashboard | Khan Academy
Codecademy
Zoom
Lynda
Nelnet
MBA at William & Mary
Lean Six Sigma Training - FREE!
AWS Digital and Classroom Training
EMERITUS Institute of Management - Global IVY Education
Data Science | Johns Hopkins University Engineering for Professionals
Data Mining and Applications Graduate Certificate | Stanford Center for Professional Development
Foundations in Computer Science Graduate Certificate | Stanford Online
Applied and Computational Mathematics | Johns Hopkins University Engineering for Professionals
Home | AWS Training & Certification
Algebra for Calculus | Independent Learning
Online Mathematics, BS | Indiana University Online
Search for online degree programs | Indiana University Online Online
============================================================================
Cluster: 22
CRAN - Package skimr
naiveBayes function | R Documentation
pROC package | R Documentation
rpart function | R Documentation
CRAN - Package mgcv
CRAN - Package vtreat
unscale function | R Documentation
rpart.plot function | R Documentation
mice function | R Documentation
perturb function | R Documentation
Logistic regression - defining reference level in R - Stack Overflow
r - Caret package - defining Positive result - Stack Overflow
roc function | R Documentation
R style tip: prefer functions that return data frames | R-bloggers
R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs | Grömping | Journal of Statistical Software
python - Poisson Regression in statsmodels and R - Stack Overflow
Residuals function | R Documentation
R: Make Syntactically Valid Names
Let's be Faster and more Parallel in R with doParallel package | R-bloggers
Generalized Additive Models
Simulating Data for Count Models - StatLab Articles
An Illustrated Guide to the Poisson Regression Model
Create or transform variables — mutate • dplyr
GLM Documentation · GLM
Getting Started - DataFrames.jl
============================================================================
Cluster: 23
sklearn.linear_model.SGDRegressor — scikit-learn 0.20.3 documentation
sklearn.linear_model.ElasticNet — scikit-learn 0.20.3 documentation
Comparing elastic net to stochastic gradient descent for GLMs | Dustin Tran
sklearn.linear_model.SGDRegressor Python Example
How and when: ridge regression with glmnet
Penalized Logistic Regression Essentials in R: Ridge, Lasso and Elastic Net - Articles - STHDA
CRAN - Package glmnet
https://web.stanford.edu/~hastie/glmnet/glmnet_alpha.html
LASSO, Ridge, and Elastic Net
glmnet: fit a GLM with lasso or elasticnet regularization in glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models
Regularization: Ridge, Lasso and Elastic Net (article) - DataCamp
Penalized Regression Essentials: Ridge, Lasso & Elastic Net - Articles - STHDA
https://web.stanford.edu/~hastie/glmnet/glmnet_alpha.html#lin
sklearn.linear_model.BayesianRidge — scikit-learn 0.22.1 documentation
============================================================================
Cluster: 24
CSE 6040 Slack
OMSA Study Group Slack
Master's Degree in Analytics - edX
VizHub.com
Login - EdAssist
Home - EdAssist
Earned Badges - Acclaim
============================================================================
Cluster: 25
SciPy.org — SciPy.org
Top 15 Python Libraries for Data Science in 2017 – ActiveWizards: machine learning company – Medium
Overview — NumPy v1.15 Manual
gensim: Topic modelling for humans
Optimization with PuLP — PuLP v1.4.6 documentation
Numpy and Scipy Documentation — Numpy and Scipy documentation
Optimization (scipy.optimize) — SciPy v1.1.0 Reference Guide
From Python to Numpy
From Python to Numpy
MKL Optimizations — Anaconda documentation
pymc-devs/pymc3: Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
PyMC3 Documentation — PyMC3 3.8 documentation
Pymc-Learn: Practical probabilistic machine learning in Python
Welcome to pyGAM’s documentation! — pyGAM documentation
dswah/pyGAM: [HELP REQUESTED] Generalized Additive Models in Python
Welcome to SymPy’s documentation! — SymPy 1.6.2 documentation
Optimization Using R
============================================================================
Cluster: 26
Documentation for rpy2 — rpy2 3.0.1 documentation
Installation · IRkernel
R Markdown: The Definitive Guide
Cheatsheets - RStudio
flexdashboard: Easy interactive dashboards for R
R Markdown Python Engine
Installation · IRkernel
RStudio Cheat Sheets - RStudio
Graphics — rpy2 3.3.0 documentation
============================================================================
Cluster: 27
Create an isolated Python 3.4 environment with Boto 3 on EC2 using virtualenv
Example: Setting up a Static Website Using a Custom Domain - Amazon Simple Storage Service
User Guides — Boto 3 Docs 1.12.13 documentation
AWS Lambda Deployment Package in Python - AWS Lambda
Tutorial: Deploy an Updated Lambda Function with CodeDeploy and the AWS Serverless Application Model - AWS CodeDeploy
Building a Microservice in Python - Sonu Sharma - Medium
boto: A Python interface to Amazon Web Services — boto v2.49.0
AWS SDK for Python
Boto 3 Documentation — Boto 3 Docs 1.9.217 documentation
Create a REST API in AWS - Hackers and Slackers - Hackers and Slackers
S3Fs — S3Fs 0.4.0+7.gab6ebbe documentation
Using S3 Just Like a Local File System in Python - The Startup - Medium
How to build an AWS Lambda function with Python 3.7 (the right way) – Nicola Pietroluongo – PHP, Javascript, Python, cloud computing, CSS, HTML, web developing and more
How to use Docker of AWS Lambda(python 3.6) to build an application.
============================================================================
Cluster: 28
reStructuredText Directives
Sphinx 2.0.0+/f8a2e7a documentation
Documenting Your Project Using Sphinx — an_example_pypi_project v0.0.5 documentation
A Simple Tutorial on How to document your Python Project using Sphinx and Rinohtype
RestructuredText Guide — The RestructuredText Book 0.1 documentation
Configuration — Read the Docs Sphinx Theme 0.4.2 documentation
ReST – reStructuredText — Rest and Sphinx Memo v1.1-29-g98998ab documentation
Overview — Sphinx 2.0.0+/8b687ac documentation
Sphinx 2.1.0+/cafc522f documentation
An idiot’s guide to Python documentation with Sphinx and ReadTheDocs – Samposium
Python docstring reStructuredText style · GitHub
Example Google Style Python Docstrings — Sphinx 1.5.6 documentation
Python Docstrings: Reference & Examples
Getting Started with Sphinx / Autodoc: Part 1 - Michael Dunn - Medium
============================================================================
Cluster: 29
xgboost/cross_validation.py at master · dmlc/xgboost · GitHub
BMC/detect_cusum.py at master · demotu/BMC · GitHub
CoreyMSchafer (Corey Schafer)
looping_python/ks_dp_solvers.py at master · mmamaev/looping_python
handson-ml2/15_processing_sequences_using_rnns_and_cnns.ipynb at master · ageron/handson-ml2 · GitHub
caret/glmStepAIC.R at master · topepo/caret · GitHub
caret/preProcess.R at master · topepo/caret · GitHub
Hadoopadoop/WordCount.java at master · o19s/Hadoopadoop
HadoopExamples/src/com/marklogic/mapreduce/examples at master · marklogic/HadoopExamples
Dash-by-Plotly/intro.py at master · Coding-with-Adam/Dash-by-Plotly
dash-sample-apps/app.py at master · plotly/dash-sample-apps · GitHub
Async_code_1 for downloading json (w/o aiofiles) · GitHub
Sample DAG to download from S3, sleep, and reupload · GitHub
flask-tutorial/app.py at master · bhavaniravi/flask-tutorial · GitHub
============================================================================
Cluster: 30
PrettyPandas
GitHub - Menelau/DESlib: A Python library for dynamic classifier and ensemble selection
GitHub - fchollet/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"
rjurney/Agile_Data_Code_2: Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
rodyager/RWTS-PDFwriter: An OSX print to pdf-file printer driver
GitHub - hadley/rvest: Simple web scraping for R
d3/d3-fetch: Convenient parsing for Fetch.
jetbrains ide - IntelliJ: Error: java: release version 10 not supported - Stack Overflow
autopear/Intellij-Hadoop: Run Hadoop program using Intellij
GitHub - monisjaved/Data-Processing-With-Hadoop: Text Processing Using Hadoop
GitHub - facebookresearch/kill-the-bits: Code for: "And the bit goes down: Revisiting the quantization of neural networks"
GitHub - Miserlou/Zappa: Serverless Python
Flask by Example – Project Setup – Real Python
GitHub - scikit-learn-contrib/DESlib: A Python library for dynamic classifier and ensemble selection
GitHub - EthanRosenthal/skits: scikit-learn-inspired time series
GitHub - abhinavsagar/Machine-Learning-Deployment-Tutorials: Sample end to end projects from data collection to putting models into production
GitHub - viveksb007/camscanner_watermark_remover: This Flask App would remove CamScanner watermark from scanned pdfs.
GitHub - mjhea0/flask-redis-queue: Example of how to handle background processes with Flask, Redis Queue, and Docker
GitHub - Parallels/rq-dashboard: Flask-based web front-end for monitoring RQ queues
GitHub - hackersandslackers/flask-wtform-tutorial: 📝😎Tutorial to implement forms in your Flask app.
GitHub - snowflakedb/snowflake-sqlalchemy: Snowflake SQLAlchemy
GitHub - autopear/Intellij-Hadoop: Run Hadoop program using Intellij
How to remove previous version from Jupyter? - Stack Overflow
============================================================================
Cluster: 31
How to Create an ARIMA Model for Time Series Forecasting in Python
How to Make Predictions with Keras
How to Develop Your First XGBoost Model in Python with scikit-learn
Avoid Overfitting By Early Stopping With XGBoost In Python
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras
Save and Load Machine Learning Models in Python with scikit-learn
Tune Machine Learning Algorithms in R (random forest case study)
Tuning Machine Learning Models Using the Caret R Package
Gradient Boosted Regression Trees
Featuretools | An open source framework for automated feature engineering Quick Start
Data Leakage in Machine Learning
How to Tune the Number and Size of Decision Trees with XGBoost in Python
How to Use Power Transforms for Time Series Forecast Data with Python
Multi-step Time Series Forecasting with Machine Learning for Electricity Usage
How to Develop Multi-Step LSTM Time Series Forecasting Models for Power Usage
How to Use Timesteps in LSTM Networks for Time Series Forecasting
A Gentle Introduction to Normality Tests in Python
Creating Dynamic Tasks Apache Airflow | Official Pythian Blog
============================================================================
Cluster: 32
DVA Project Ideas - Google Docs
DVA Project - Google Drive
Dedupe 1.9.9 — dedupe 1.9.9 documentation
GitHub - CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of v
Bayesian Methods for Hackers
Home - Cookiecutter Data Science
Welcome to Java for Python Programmers — Java for Python Programmers
Jupyter is now a full-fledged IDE | by Dimitris Poulopoulos | Towards Data Science
Checking Data Assumptions - Learn JS Data
SQLite FTS3 and FTS4 Extensions
Repl.it - Online Java Editor and IDE - Fast, Powerful, Free
A MapReduce overview - Towards Data Science
Java Programming Cheatsheet
Google Knowledge Graph Search API | Knowledge Graph Search API | Google Developers
openrefine.github.com
Object Oriented Programming in Java | Coursera
Java Programming I | UCLA Continuing Education
Powerful Page Templates in Flask With Jinja
Table of Contents — How to Think like a Computer Scientist: Interactive Edition
Think Julia: How to Think Like a Computer Scientist
Big Data · OnlineStats Docs
============================================================================
Cluster: 33
Natural Language Toolkit — NLTK 3.4 documentation
Stanford CoreNLP – Natural language software | Stanford CoreNLP
spaCy · Industrial-strength Natural Language Processing in Python
Topic Modeling with Gensim. A guide to get started with… | by Tara Boyle | Towards Data Science
4 Relationships between words: n-grams and correlations | Text Mining with R
Calculating a Co-Occurrence Matrix With Hadoop - Random Thoughts on Coding
Latent Dirichlet Allocation (LDA) with Python
Python for NLP: Topic Modeling
Gensim Topic Modeling - A Guide to Building Best LDA models
NLP with Python: Text Feature Extraction - Sanjaya’s Blog
Using pre-trained word embeddings
============================================================================
Cluster: 34
arules package | R Documentation
CRAN - Package caTools
CRAN - Package BEST
CRAN - Package Metrics
CRAN - Package PortfolioAnalytics
CRAN - Package TTR
CRAN - Package qrmtools
CRAN - Package QRM
CRAN - Package qrmdata
quantmod: Quantitative Financial Modelling Framework
CRAN - Package tseries
CRAN - Package astsa
CRAN - Package fpp2
CRAN - Package DAAG
Home - tqdm documentation
============================================================================
Cluster: 35
Homepage | JuliaAcademy
Julia Downloads
Home · The Julia Language
Complex logic at breakneck speed: Try Julia for data science
A Complete Tutorial to Learn Data Science with Julia from Scratch
Will Julia Replace Python for Data Science? | Dimensionless Technologies
Packages | Julia Observer
Pkg · The Julia Language
Game-Changing Packages – Julia Computing
Julia vs. Python: Which is best for data science? | InfoWorld
JuliaStats/RDatasets.jl: Julia package for loading many of the data sets available in R
Introduction · MLJ
Basics · JuliaDB.jl
A Deep Introduction to Julia for Data Science and Scientific Computing¶
Julia Archives - Stochastic Lifestyle
============================================================================
Cluster: 36
python - Use package from Github in Conda Virtual Environment - Stack Overflow
Miniconda — Conda documentation
Why You Need Python Environments and How to Manage Them with Conda
Install Python on Windows (Anaconda) – Michael Galarnyk – Medium
Command reference — conda 4.6.7.post6+3bffc380 documentation
How To Install Anaconda on Ubuntu 18.04 [Quickstart] | DigitalOcean
Managing environments — conda 4.6.8.post8+e3f1b5d6 documentation
Anaconda is Bloated - Set up a lean, robust data science environment
How to Install R in Jupyter with IRKernel in 3 Steps?
R-essentials installed successfully, but no libraries available (MAC) · Issue #384 · IRkernel/IRkernel · GitHub
Rpy2 :: Anaconda Cloud
2 minute recipe: How to rollback your conda environment
============================================================================
Cluster: 37
Rodeo
Install MySQL on Sierra using Homebrew · GitHub
MySQL :: MySQL and OS X :: 2 Installing MySQL on macOS Using Native Packages
MySQL :: MySQL and OS X :: 2 Installing MySQL on macOS Using Native Packages
How to Start & Stop MySQL Manually in OS X El Capitan & Yosemite
How to Install MySQL on Mac OSX - Employbl - Medium
PostgreSQL: macOS packages
Installing Postgres via Brew (OSX) · GitHub
Configure PostgreSQL on your Mac from scratch - ITNEXT
pgAdmin4
============================================================================
Cluster: 38
Lemur Pro - System76
JavaScript | MDN
JavaScript Tutorial
JavaScript Introduction
D3: Promise Syntax & Examples
Promise - JavaScript | MDN
PlayCode - Code Sandbox. Online Code Editor
Introduction to Node.js
jQuery API Documentation
Introduction · Bootstrap v4.5
============================================================================
Cluster: 39
scikit-learn: machine learning in Python — scikit-learn 0.20.1 documentation
scikit-learn: machine learning in Python — scikit-learn 0.20.0 documentation
ranger function | R Documentation
CRAN - Package caret
CRAN - Package ipred
gbm package | R Documentation
Linear Regression in R
KNN R, K-Nearest Neighbor implementation in R using caret package
Regression Trees · UC Business Analytics R Programming Guide
Quick-R: Tree-Based Models
Naïve Bayes Classifier · UC Business Analytics R Programming Guide
Data Exploration & Machine Learning, Hands-on
The caret Package
Predictive Analytics · UC Business Analytics R Programming Guide
Google Analytics Customer Revenue Prediction | Kaggle
Random Forests and the Bias-Variance Tradeoff – Towards Data Science
machine learning - R: using ranger with caret, tuneGrid argument - Stack Overflow
Random Forests · UC Business Analytics R Programming Guide
GAM: The Predictive Modeling Silver Bullet | Stitch Fix Technology – Multithreaded
Information package | R Documentation
Information Package Vignette
Machine Learning in R - Next Generation • mlr3
Linear, Ridge and Lasso Regression comprehensive guide for beginners
============================================================================
Cluster: 40
tabulate · PyPI
brew · PyPI
lightning — lightning dev documentation
pmdarima: ARIMA estimators for Python — pmdarima 1.2.0 documentation
Pyramid: ARIMA estimators for Python — pyramid 0.9.0 documentation
Unable to pip install · Issue #13 · tgsmith61591/pmdarima · GitHub
GitHub - tgsmith61591/pmdarima: A package that brings R's beloved auto.arima to Python, making an even stronger case for why Python > R for data science.
tslearn’s documentation — tslearn 0.1.29 documentation
Installation — nbsphinx version 0.4.2
python - pip install fails with "connection error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:598)" - Stack Overflow
Installation - TPOT
Downloads - the bpython interpreter
lightning — lightning dev documentation
tsfresh — tsfresh 0.12.0 documentation
Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package) - ScienceDirect
tpot/README.md at master · EpistasisLab/tpot · GitHub
Quick Start — tsfresh 0.12.0 documentation
API Reference — tslearn 0.2.5 documentation
Tsfresh Features and Regression Blend | Kaggle
holidays · PyPI
============================================================================
Cluster: 41
Dashboard | edX
GT | GT Login
Georgia Tech :: Account Management :: Passport
Georgia Tech OMS Analytics - Google+
Georgia Tech Email Services :: Login
Databricks Community Edition
GitHub - GATech
JHU
Dashboard | GARP
My Courses | CloudxLab
How to Allow Apps from Anywhere in macOS Gatekeeper (Mojave, Sierra, High Sierra)
An Introduction to OAuth 2 | DigitalOcean
Time Series Feature Extraction for industrial big data (IIoT) applications
Incoming WebHooks | Slack App Directory
============================================================================
Cluster: 42
Python Graphing Library, Plotly
Dash by Plotly - Plotly
Dash User Guide and Documentation - Dash by Plotly
Dash Documentation & User Guide | Plotly
How to Build a Reporting Dashboard using Dash and Plotly
Dash Documentation & User Guide | Plotly
dash-sample-apps/apps/dash-opioid-epidemic at master · plotly/dash-sample-apps · GitHub
Getting Started with Plotly | Python | Plotly
Plotly Express | Python | Plotly
============================================================================
Cluster: 43
Hadoop & Mapreduce Examples: Create your First Program
Passing Multiple Values in MapReduce Part 1: Strings
Hadoop Hello World Example | Examples Java Code Geeks - 2019
BigData World: Hadoop MapReduce Chaining Example
How to Chain MapReduce Job in Hadoop - KnpCode
Hadoop MapReduce Join & Counter with Example
MapReduce Example | Reduce Side Join MapReduce Example | Edureka
ChainMapper (Apache Hadoop Main 2.7.0 API)
multipleJobsSingle
============================================================================
Cluster: 44
Welcome to LightGBM’s documentation! — LightGBM 2.2.4 documentation
xgboost/parameter.rst at master · dmlc/xgboost · GitHub
XGBoost Parameters — xgboost 0.81 documentation
Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
[Tutorial] Time Series forecasting with XGBoost | Kaggle
XGBoost Documentation — xgboost 0.81 documentation
3.2.4.3.5. sklearn.ensemble.GradientBoostingClassifier — scikit-learn 0.20.3 documentation
XGBoost Time Series | Kaggle
Xgboost presentation
============================================================================
Cluster: 45
TensorFlow
Home - Keras Documentation
How to install Keras with a TensorFlow backend for deep learning | In Machines We Trust
PyTorch
GitHub - matroid/dlwithtf: TensorFlow for Deep Learning Book
6 Top AutoML Frameworks for Machine Learning Applications (May 2019) - Alibaba Cloud Community
TensorFlow for R
Practical Deep Learning for Coders, v3 | fast.ai course v3
TensorFlow 2 for Deep Learning | Coursera
How to use Google Colaboratory to clone a GitHub Repository to your Google Drive?
Apache MXNet | A flexible and efficient library for deep learning.
Dive into Deep Learning — Dive into Deep Learning 0.7.1 documentation
Python Tutorials — Apache MXNet documentation
Gluon — Apache MXNet documentation
Deep Learning - The Straight Dope — The Straight Dope 0.1 documentation
Dive into Deep Learning — Dive into Deep Learning 0.14.4 documentation
MXNet.jl
============================================================================
Cluster: 46
Gradient boosting: Distance to target
python - One-Hot-Encode categorical variables and scale continuous ones simultaneouely - Stack Overflow
Impact of Scaling on Feature Selection with RFE
Feature Scaling with scikit-learn – Ben Alex Keen
Introducing the ColumnTransformer: applying different transformations to different features in a scikit-learn pipeline | Joris Van den Bossche
r - Rescale predictions of regression model fitted on scaled predictors - Cross Validated
Near-zero variance predictors. Should we remove them? | R-bloggers
Exploring the caret package
Stepwise Regression Essentials in R - Articles - STHDA
Preprocessign Data with caret
Effect of transforming the targets in regression model — scikit-learn 0.21.3 documentation
regression - Principled way of collapsing categorical variables with many levels? - Cross Validated
What is Featuretools? — Featuretools 0.12.0 documentation
Scale, Standardize, or Normalize with Scikit-Learn - Towards Data Science
sklearn.preprocessing.OneHotEncoder — scikit-learn 0.22.1 documentation
5.1. Pipelines and composite estimators — scikit-learn 0.21.3 documentation
Column Transformer with Mixed Types — scikit-learn 0.22.1 documentation
ML Data Pipelines with Custom Transformers in Python
Combating High Cardinality Features in Supervised Machine Learning | Mawazo
Feature Branches and Pull Requests : Walkthrough · GitHub
============================================================================
Cluster: 47
Prophet | Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.
Stationarity and differencing of time series data
Estimation, Out-of-sample Validation, and Forecasting
Quick Start | Prophet
Time Series Analysis: KERAS LSTM Deep Learning - Part 1
Darts: Time Series Made Easy in Python | by Julien Herzen | Unit8 - Big Data & AI | Medium
unit8co/darts: A python library for easy manipulation and forecasting of time series.
Forecasting: Principles and Practice
Forecasting: Principles and Practice
GluonTS - Probabilistic Time Series Modeling — GluonTS documentation
Time series forecasting — tsfresh 0.12.0 documentation
Automated Feature Engineering for Time Series Data
Forecasting — arch 4.11 documentation
Time Series Analysis with LSTM using Python's Keras Library
Time Series Cross-validation — a walk forward approach in python
Methods to improve Time series forecast (including ARIMA, Holt's winter)
Time Series for scikit-learn People (Part III): Horizon Optimization | Ethan Rosenthal
Implementing Facebook Prophet efficiently - Towards Data Science
Structural Time Series modeling in TensorFlow Probability — The TensorFlow Blog
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Cluster: 48
How do I get git to ignore my csv files? - Stack Overflow
Git - git-commit Documentation
Git - gitignore Documentation
.gitignore file - ignoring files in Git | Atlassian Git Tutorial
linux - Add previously ignored directory to Git repository - Stack Overflow
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Cluster: 49
Education - Overview - Microsoft Azure
All resources - Microsoft Azure
cse6242-2019fall-online - Overview - Microsoft Azure
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Cluster: 50
sklearn.model_selection.cross_val_score — scikit-learn 0.20.3 documentation
sklearn.model_selection.GridSearchCV — scikit-learn 0.20.3 documentation
sklearn.model_selection.TimeSeriesSplit — scikit-learn 0.21.3 documentation
python - How do I use a TimeSeriesSplit with a GridSearchCV object to tune a model in scikit-learn? - Stack Overflow
sklearn.multioutput.RegressorChain — scikit-learn 0.22 documentation
sklearn.model_selection.TimeSeriesSplit — scikit-learn 0.22 documentation
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Cluster: 51
Flask’s Latest Rival in Data Science | by S Ahmad | Towards Data Science
You Should Start Using FastAPI Now | by Tivadar Danka | Towards Data Science
The Atlas toolkit
How to Easily Deploy Machine Learning Models Using Flask
Deploying Your Machine Learning Model as a REST API Using Flask
Deploy a Machine Learning Model with Flask - HyperionDev Blog
Tutorial: Deploying a machine learning model to the web
Serving a model with Flask
An introduction to the Flask Python web app framework | Opensource.com
Flask — Host Your Python Machine Learning Model On Web
Deploying a Machine Learning Model as a REST API - Towards Data Science
Create a complete Machine learning web application using React and Flask
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Cluster: 52
Principal Component Analysis
dimensionality reduction - How to reverse PCA and reconstruct original variables from several principal components? - Cross Validated
Principal Component Analysis in R: prcomp vs princomp - Articles - STHDA
Principal Components Analysis using R
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Cluster: 53
Python Programming Tutorials
fastcluster · PyPI
Implementing the k-means algorithm with numpy | Frolian's blog
K-Medoids in R: Algorithm and Practical Examples - Datanovia
Data Clustering with K-Means Using Python -- Visual Studio Magazine
GMM
K-means Cluster Analysis · UC Business Analytics R Programming Guide