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Cluster: 0
GitHub - GATech
python - One-Hot-Encode categorical variables and scale continuous ones simultaneouely - Stack Overflow
Python safe method to get value of nested dictionary - Stack Overflow
python - Use package from Github in Conda Virtual Environment - Stack Overflow
Logistic regression - defining reference level in R - Stack Overflow
r - Caret package - defining Positive result - Stack Overflow
python - Poisson Regression in statsmodels and R - Stack Overflow
machine learning - R: using ranger with caret, tuneGrid argument - Stack Overflow
javascript - reversed Y-axis D3 - Stack Overflow
d3.js - Plot multiple lines in a for loop in d3 - Stack Overflow
join - SQLite -- joining two subqueries - Stack Overflow
python - How do I use a TimeSeriesSplit with a GridSearchCV object to tune a model in scikit-learn? - Stack Overflow
amazon emr - Using Json Input Variables In Airflow EMR Operator - Stack Overflow
How to remove previous version from Jupyter? - Stack Overflow
How do I get git to ignore my csv files? - Stack Overflow
linux - Add previously ignored directory to Git repository - Stack Overflow
============================================================================
Cluster: 1
GT | GT Login
BuzzPort Login
Georgia Tech :: Account Management :: Passport
Georgia Tech Email Services :: Login
Blackboard
JHU Carey Store
Handshake
Home - Keras Documentation
seaborn: statistical data visualization — seaborn 0.9.0 documentation
Overview and getting started — ipyparallel 6.3.0.dev documentation
Stanford CoreNLP – Natural language software | Stanford CoreNLP
Be Pythonic: __init__.py - Mike Grouchy
How to use proxies with an HTTP session using the Python requests package | Calazan.com
What is Kubernetes - Kubernetes
Meet PyCharm - Help | PyCharm
Python Programming Tutorials
Create a simple http server with Python 3 | Daan Lenaerts
Send Emails Using Python
sktime — sktime 0.4.1 documentation
Sending Emails With Python – Real Python
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
Linear Regression in R
Data Analysis Examples - IDRE Stats
foreach.pdf
JavaScript | MDN
JavaScript Tutorial
JavaScript Introduction
Uninstall VirtualBox on Mac - Complete Removal Guide
STATA Login
UMUC
Dashboard | GARP
AFP FP&A Learning System™ - Certified Corporate Financial Planning & Analysis Professional (FP&A)
IMA Nation's Capital Chapter
My Courses | CloudxLab
How to Allow Apps from Anywhere in macOS Gatekeeper (Mojave, Sierra, High Sierra)
Introduction to Node.js
API Integration in Python – Part 1 – Real Python
The Atlas toolkit
Python requests.Response Object
Quickstart — Requests 2.22.0 documentation
An Introduction to OAuth 2 | DigitalOcean
Time Series Feature Extraction for industrial big data (IIoT) applications
Welcome to AIOHTTP — aiohttp 3.6.2 documentation
Asynchronous Tasks with Flask and Redis Queue | TestDriven.io
Introduction to Postman for API Development - GeeksforGeeks
The Flask Mega-Tutorial Part XXIII: Application Programming Interfaces (APIs) - miguelgrinberg.com
Using Celery With Flask - miguelgrinberg.com
Welcome to Flask-SocketIO’s documentation! — Flask-SocketIO documentation
Python String Format Cookbook – mkaz.blog
Sending Emails With Python – Real Python
Introduction · Bootstrap v4.5
Installing MySQL in a Mac OS X environment - Java SDK for BB OS 7.1 - BlackBerry Developer
Installing Postgres via Brew (OSX) · GitHub
Configure PostgreSQL on your Mac from scratch - ITNEXT
Snowflake SQLAlchemy — Snowflake Documentation
============================================================================
Cluster: 2
scikit-learn: machine learning in Python — scikit-learn 0.20.1 documentation
sklearn.model_selection.cross_val_score — scikit-learn 0.20.3 documentation
Welcome to LightGBM’s documentation! — LightGBM 2.2.4 documentation
xgboost/parameter.rst at master · dmlc/xgboost · GitHub
Get Started with XGBoost — xgboost 0.81 documentation
XGBoost Parameters — xgboost 0.81 documentation
Python API Reference — xgboost 0.81 documentation
Complete Guide to Parameter Tuning in XGBoost (with codes in Python)
scikit-learn: machine learning in Python — scikit-learn 0.20.0 documentation
sklearn.model_selection.GridSearchCV — scikit-learn 0.20.3 documentation
XGBoost Documentation — xgboost 0.81 documentation
Projects — DataRobot Python Client 2.16.0 documentation
XGBoost Time Series | Kaggle
rpart function | R Documentation
ranger function | R Documentation
Xgboost presentation
rpart.plot function | R Documentation
Regression Trees · UC Business Analytics R Programming Guide
Quick-R: Tree-Based Models
Random Forests and the Bias-Variance Tradeoff – Towards Data Science
Random Forests · UC Business Analytics R Programming Guide
sklearn.model_selection.TimeSeriesSplit — scikit-learn 0.21.3 documentation
sklearn.model_selection.TimeSeriesSplit — scikit-learn 0.22 documentation
Time Series Cross-validation — a walk forward approach in python
============================================================================
Cluster: 3
Python Programming Tutorials
d3.quantize / D3 / Observable
GitHub - facebookresearch/kill-the-bits: Code for: "And the bit goes down: Revisiting the quantization of neural networks"
Deep Learning - The Straight Dope — The Straight Dope 0.1 documentation
============================================================================
Cluster: 4
Applied Economics | Advanced Academic Programs | Johns Hopkins University
Financial Mathematics | Johns Hopkins University Engineering for Professionals
JHU Whiting
Welcome to STAT 510! | STAT 510
Data Visualization and D3.js | Udacity
MyUMUC
DataCamp
Lynda
MBA at William & Mary
Python for Everybody | Coursera
Applied Data Science with Python | Coursera
Statistics with R | Coursera
Object Oriented Programming in Java | Coursera
Business Analytics Online Course | Led by Expert Mentors
Intermediate Data Science: Python - Online Course | Springboard
Lean Six Sigma Training - FREE!
EMERITUS Institute of Management - Global IVY Education
fast.ai · Making neural nets uncool again
Practical Deep Learning for Coders, v3 | fast.ai course v3
Big Data and Data Science Online Program | Continuing Studies
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
Introduction to Statistical Learning
Java Programming I | UCLA Continuing Education
Algebra for Calculus | Independent Learning
Online Mathematics, BS | Indiana University Online
TensorFlow 2 for Deep Learning | Coursera
============================================================================
Cluster: 5
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: 6
MLlib | Apache Spark
Apache Spark™ - Unified Analytics Engine for Big Data
rjurney/Agile_Data_Code_2: Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
Big Data with Hadoop and Spark Online Training (With Certification) | CloudxLab
Learn Big Data Hadoop Tutorial - javatpoint
autopear/Intellij-Hadoop: Run Hadoop program using Intellij
Apache MXNet | A flexible and efficient library for deep learning.
Python Tutorials — Apache MXNet documentation
Gluon — Apache MXNet documentation
Overview - Spark 2.4.4 Documentation
GitHub - autopear/Intellij-Hadoop: Run Hadoop program using Intellij
MXNet.jl
============================================================================
Cluster: 7
Download H2O 3.22.1.3
lightning — lightning dev documentation
python - pip install fails with "connection error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:598)" - Stack Overflow
Install Windows Subsystem for Linux (WSL) on Windows 10 | Microsoft Docs
Rodeo
Downloads - the bpython interpreter
Cookiecutter PyPackage — cookiecutter-pypackage 0.9.0 documentation
Installation · IRkernel
pROC package | R Documentation
smooth package | R Documentation
Installation · IRkernel
Repl.it - Online Java Editor and IDE - Fast, Powerful, Free
Build Your First Open Source Python Project - Towards Data Science
lightning — lightning dev documentation
PostgreSQL: macOS packages
How to update your Git credentials on Windows
============================================================================
Cluster: 8
Education - Overview - Microsoft Azure
All resources - Microsoft Azure
cse6242-2019fall-online - Overview - Microsoft Azure
Julia Downloads
Home · The Julia Language
Complex logic at breakneck speed: Try Julia for data science
Juno
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
Introduction · MLJ
A Deep Introduction to Julia for Data Science and Scientific Computing¶
Julia Archives - Stochastic Lifestyle
============================================================================
Cluster: 9
How to install Keras with a TensorFlow backend for deep learning | In Machines We Trust
gensim: Topic modelling for humans
Installation — nbsphinx version 0.4.2
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
MKL Optimizations — Anaconda documentation
Installation - TPOT
Getting Started — Scientific Python Cookiecutter 0.1 documentation
Welcome to pyGAM’s documentation! — pyGAM documentation
unit8co/darts: A python library for easy manipulation and forecasting of time series.
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: 10
Adobe Connect @ Johns Hopkins
Example: Setting up a Static Website Using a Custom Domain - Amazon Simple Storage Service
Get started with deep learning using the AWS Deep Learning AMIs | AWS
How to do R Programming on Cloud - R & RStudio
Zoom
Understanding Amazon SageMaker notebook instance networking configurations and advanced routing options | AWS Machine Learning Blog
Linode
Dive into Deep Learning — Dive into Deep Learning 0.7.1 documentation
Dive into Deep Learning — Dive into Deep Learning 0.14.4 documentation
How to Deploy Docker Containers – AWS
============================================================================
Cluster: 11
CSE 6040 Slack
OMSA Study Group Slack
Mathway | Trigonometry Problem Solver
Slack API: Applications | Corporate & Global Finance Slack
Integrating Slack Alerts in Airflow - DataReply - Medium
Incoming WebHooks | Slack App Directory
============================================================================
Cluster: 12
CRAN - Package corrplot
CRAN - Package skimr
CRAN - Package WVPlots
CRAN - Package mgcv
CRAN - Package vtreat
CRAN - Package caTools
CRAN - Package lattice
CRAN - Package caret
CRAN - Package BEST
CRAN - Package Metrics
CRAN - Package ipred
CRAN - Package PortfolioAnalytics
CRAN - Package TTR
CRAN - Package qrmtools
CRAN - Package QRM
CRAN - Package qrmdata
CRAN - Package zoo
CRAN - Package tseries
CRAN - Package astsa
CRAN - Package xts
CRAN - Package fpp2
The caret Package
CRAN - Package glmnet
CRAN - Package cowplot
CRAN - Package DAAG
============================================================================
Cluster: 13
openpyxl - A Python library to read/write Excel 2010 xlsx/xlsm files — openpyxl 2.5.12 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
Vi / Vim: Save And Quit The Editor Command - nixCraft
How to create a universal (script) file for a Mac, based on several Terminal commands - Ask Different
Configuration files in Python · Martin Thoma
Simplify Your Python Project Configuration | Hackers and Slackers | Data Science & Engineering
Quickly Show/Hide Hidden Files on macOS Sierra, OS X El Capitan & Yosemite | Ian Lunn - Front-end Developer
Practical SQLite Commands That You Don't Want To Miss
Beginners Guide to Apache Pig
Apache Pig - Quick Guide - Tutorialspoint
BigData World: Hadoop MapReduce Chaining Example
Manage dependencies using requirements.txt - Help | PyCharm
Simplify Your Python Project Configuration | Hackers and Slackers
How to use Google Colaboratory to clone a GitHub Repository to your Google Drive?
Flask-Uploads — Flask-Uploads 0.1.1 documentation
Deploy a Machine Learning Model with Flask - HyperionDev Blog
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
10 Must know terminal commands and tips for productivity (Mac edition)
S3Fs — S3Fs 0.4.0+7.gab6ebbe documentation
Git - gitignore Documentation
.gitignore file - ignoring files in Git | Atlassian Git Tutorial
============================================================================
Cluster: 14
Gradient boosting: Distance to target
Identifying the orders of AR and MA terms in an ARIMA model
statespace_structural_harvey_jaeger
3.2.4.3.5. sklearn.ensemble.GradientBoostingClassifier — scikit-learn 0.20.3 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
6 Top AutoML Frameworks for Machine Learning Applications (May 2019) - Alibaba Cloud Community
Topic Modeling with Gensim. A guide to get started with… | by Tara Boyle | Towards Data Science
gbm package | R Documentation
quantmod: Quantitative Financial Modelling Framework
Data Exploration & Machine Learning, Hands-on
Residuals function | R Documentation
Information package | R Documentation
Generalized Additive Models
General Update Pattern, I - bl.ocks.org
General Update Pattern, III - bl.ocks.org
Gensim Topic Modeling - A Guide to Building Best LDA models
Effect of transforming the targets in regression model — scikit-learn 0.21.3 documentation
GluonTS - Probabilistic Time Series Modeling — GluonTS documentation
API Reference — statsmodels
Basic Time Series Analysis
============================================================================
Cluster: 15
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
How to Setup Your JupyterLab Project Environment - Towards Data Science
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)
How To Remove Docker Images, Containers, and Volumes | DigitalOcean
Docker Documentation | Docker Documentation
Docker Hub
Understanding Communication Between Docker Containers - Cloudkul
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
Jupyter Docker Stacks — docker-stacks latest documentation
Configure an interpreter using Docker - Help | PyCharm
Get started with Docker Compose | Docker Documentation
============================================================================
Cluster: 16
Welcome | Flask (A Python Microframework)
Building a Basic RestFul API in Python | Codementor
How to build a web application using Flask and deploy it to the cloud
Deploying Your Machine Learning Model as a REST API Using Flask
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
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
Create a complete Machine learning web application using React and Flask
============================================================================
Cluster: 17
MySQL :: MySQL 8.0 Reference Manual :: 3.3.1 Creating and Selecting a Database
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
Getting Started with MySQL in Python (article) - DataCamp
How to Install MySQL on Mac OSX - Employbl - Medium
============================================================================
Cluster: 18
TensorFlow
Installation — JupyterLab 0.35.4 documentation
IPython Documentation — IPython 7.3.0 documentation
Boosting Your Jupyter Notebook Productivity – Towards Data Science
Using as a command line tool — nbconvert 5.4.0.dev0 documentation
Is it possible to add .css style to Jupyter notebook from separate file? - Stack Overflow
Using IPython for parallel computing — ipyparallel 6.3.0.dev documentation
CoCalc - Run Jupyter Notebooks Online
Microsoft Azure Notebooks
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
path - How to change the Jupyter start-up folder - Stack Overflow
Overview — Jupyter Documentation 4.1.1 alpha documentation
Set up a Jupyter Notebook Server - Deep Learning AMI
Books with Jupyter
Jupyter is now a full-fledged IDE | by Dimitris Poulopoulos | Towards Data Science
JupyterLab Documentation — JupyterLab 1.1.1 documentation
Tutorials - CatBoost. Documentation
============================================================================
Cluster: 19
PyTorch
Pandas and Tidy Data | Ji ZHANG's Blog
Dedupe 1.9.9 — dedupe 1.9.9 documentation
https://pyyaml.org
dswah/pyGAM: [HELP REQUESTED] Generalized Additive Models in Python
Tidyverse
arules package | R Documentation
Cheatsheets - RStudio
R Package FrF2 for Creating and Analyzing Fractional Factorial 2-Level Designs | Grömping | Journal of Statistical Software
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
RStudio Cheat Sheets - RStudio
Chapter 4 Basic time series functions in R | Applied Time Series Analysis for Fisheries and Environmental Sciences
JuliaStats/RDatasets.jl: Julia package for loading many of the data sets available in R
============================================================================
Cluster: 20
Matplotlib: Python plotting — Matplotlib 3.0.2 documentation
Letter-value plots: Boxplots for large data
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
ggfortify package | R Documentation
CRAN - Package GGally
Plotting Diagnostics for Linear Models
RPubs - Diagnostic Plots using ggplot2
Introduction to cowplot
Customizing Matplotlib with style sheets and rcParams — Matplotlib 3.1.1 documentation
Style sheets reference — Matplotlib 3.1.1 documentation
API Documentation — nxviz 0.3 documentation
Graphics — rpy2 3.3.0 documentation
A Q-Q Plot Dissection Kit
============================================================================
Cluster: 21
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
Simple d3.js bar chart - bl.ocks.org
d3v4 Multi-Line Chart with 2 Layers of Nesting - bl.ocks.org
Dash Documentation & User Guide | Plotly
Getting Started with Plotly | Python | Plotly
Plotly Express | Python | Plotly
============================================================================
Cluster: 22
Understanding Apache Airflow’s key concepts – Dustin Stansbury – Medium
Prefect Core - Prefect
Use conditional tasks with Apache Airflow - Guillaume Payen - Medium
Creating a dynamic DAG using Apache Airflow - Towards Data Science
python - Proper way to create dynamic workflows in Airflow - Stack Overflow
Using Airflow Datastores
Concepts — Airflow Documentation
============================================================================
Cluster: 23
sklearn-pandas · PyPI
GitHub - scikit-learn-contrib/sklearn-pandas: Pandas integration with sklearn
From Pandas to Scikit-Learn — A new exciting workflow
weighted avarage, aggrefated function with apply and agg — pydata
Feature Scaling with scikit-learn – Ben Alex Keen
Pandas for Panel Data – Quantitative Economics
Introducing the ColumnTransformer: applying different transformations to different features in a scikit-learn pipeline | Joris Van den Bossche
naiveBayes function | R Documentation
unscale function | R Documentation
mice function | R Documentation
r - Rescale predictions of regression model fitted on scaled predictors - Cross Validated
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
Naïve Bayes Classifier · UC Business Analytics R Programming Guide
Near-zero variance predictors. Should we remove them? | R-bloggers
flexdashboard: Easy interactive dashboards for R
roc function | R Documentation
Exploring the caret package
Preprocessign Data with caret
Scale functions | D3 in Depth
Making Dynamic Scales and Axes | DashingD3js.com
Recipes · OpenRefine/OpenRefine Wiki
plotly.express.choropleth_mapbox — 4.9.0 documentation
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
Create or transform variables — mutate • dplyr
Getting Started - DataFrames.jl
============================================================================
Cluster: 24
RegExr: Learn, Build, & Test RegEx
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
Getting Started With Testing in Python – Real Python
unittest — Unit testing framework — Python 3.8.0 documentation
Mocking, Monkey Patching, and Faking Functionality — Python 401 2.1 documentation
Checking Data Assumptions - Learn JS Data
Good Integration Practices — pytest documentation
Working with the Python Super Function
Testing Your Code — The Hitchhiker's Guide to Python
pytest: helps you write better programs — pytest documentation
Improve Your Python: Understanding Unit Testing
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
============================================================================
Cluster: 25
Build High Performance Time Series Models using Auto ARIMA in Python and R
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
exponential_smoothing
[Tutorial] Time Series forecasting with XGBoost | Kaggle
Quick Start | Prophet
Darts: Time Series Made Easy in Python | by Julien Herzen | Unit8 - Big Data & AI | Medium
Forecasting: Principles and Practice
Predictive Analytics · UC Business Analytics R Programming Guide
Forecasting: Principles and Practice
Forecasting Functions for Time Series and Linear Models • forecast
Time series forecasting — tsfresh 0.12.0 documentation
Automated Feature Engineering for Time Series Data
exponential_smoothing
Forecasting — arch 4.11 documentation
Methods to improve Time series forecast (including ARIMA, Holt's winter)
How to Build Exponential Smoothing Models Using Python: Simple Exponential Smoothing, Holt, and…
Time Series for scikit-learn People (Part III): Horizon Optimization | Ethan Rosenthal
Holt-Winters Forecasting for Dummies - Part III - Gregory Trubetskoy
Structural Time Series modeling in TensorFlow Probability — The TensorFlow Blog
16.1 Vector Autoregressions | Introduction to Econometrics with R
============================================================================
Cluster: 26
Team_NOVA Bios - Google Sheets
DVA Project - Google Drive
cse6242-2019fall-online-project-description
Master's Degree in Analytics - edX
VMock
Your Membership | Johns Hopkins Alumni
SciPy.org — SciPy.org
tabulate · PyPI
Beautiful Soup Documentation — Beautiful Soup 4.4.0 documentation
Top 15 Python Libraries for Data Science in 2017 – ActiveWizards: machine learning company – Medium
brew · PyPI
Documentation for rpy2 — rpy2 3.0.1 documentation
StatsModels: Statistics in Python — statsmodels 0.9.0 documentation
Python Data Analysis Library — pandas: Python Data Analysis Library
Overview — NumPy v1.15 Manual
Model Selection
fastcluster · PyPI
Welcome to Bokeh — Bokeh 1.0.4 documentation
Python Dashboards
Charting the waters: between Bokeh and D3
Visualising My Facebook Network Clusters - Towards Data Science
Pythex: a Python regular expression editor
Regex Cheat Sheet
Python String Format Cookbook – mkaz.blog
Dask — Dask 1.1.4 documentation
Natural Language Toolkit — NLTK 3.4 documentation
spaCy · Industrial-strength Natural Language Processing in Python
pmdarima: ARIMA estimators for Python — pmdarima 1.2.0 documentation
Pyramid: ARIMA estimators for Python — pyramid 0.9.0 documentation
Fast Cross Correlation and Time Series Synchronization in Python - Lex Fridman
numpy.vectorize — NumPy v1.16 Manual
Iterating Over Arrays — NumPy v1.16 Manual
numpy.correlate — NumPy v1.16 Manual
Creating PDF Reports with Pandas, Jinja and WeasyPrint - Practical Business Python
Generating Excel Reports from a Pandas Pivot Table - Practical Business Python
SQLAlchemy - The Database Toolkit for Python
HDF5 for Python
Jekyll • Simple, blog-aware, static sites | Transform your plain text into static websites and blogs
Introduction · Django Girls Tutorial
CUSUM Detection Example
simpy · PyPI
Optimization with PuLP — PuLP v1.4.6 documentation
Queuing System Discrete Event Simulation in Python (Process interaction) - YouTube
Numpy and Scipy Documentation — Numpy and Scipy documentation
StatsModels: Statistics in Python — statsmodels 0.9.0 documentation
Linear Programming with Python and PuLP – Part 6 – Ben Alex Keen
Optimization (scipy.optimize) — SciPy v1.1.0 Reference Guide
Practical Business Python -
numpy.cumsum — NumPy v1.15 Manual
Tutorial: Running R Jupyter Notebooks on AWS EC2 – Sophie Haynes
Top (Bash Reference Manual)
Python Program to Multiply Two Matrices
sklearn.linear_model.SGDRegressor Python Example
Dask — Dask 1.1.3 documentation
Upgrading Bash on macOS - ITNEXT
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
Visual Studio Dark • TmTheme Editor
abc — Abstract Base Classes — Python 3.7.4 documentation
NetworkX — NetworkX
From Python to Numpy
Recursion vs. Looping in Python - By
From Python to Numpy
Getting Started with Python and MongoDB | MongoDB
Bayesian Methods for Hackers
Overview — H2O 3.28.0.4 documentation
Lemur Pro - System76
Home - Cookiecutter Data Science
Welcome to Click — Click Documentation (7.x)
Python Design Patterns
Implementing the k-means algorithm with numpy | Frolian's blog
K-Medoids in R: Algorithm and Practical Examples - Datanovia
Python Data Science Handbook | Python Data Science Handbook
Look Ma, No For-Loops: Array Programming With NumPy – Real Python
Data Clustering with K-Means Using Python -- Visual Studio Magazine
GMM
Solve the Equation ln(x+6)=ln(4+2x) - Answer | Math Problem Solver - Cymath
PerformanceAnalytics package | R Documentation
K-means Cluster Analysis · UC Business Analytics R Programming Guide
Tidyverse Cookbook
RPubs - Joining Data in R with dplyr
Data Management in R | Quick-R
RPubs - Data Processing with dplyr & tidyr
Quick-R: Home Page
R Markdown: The Definitive Guide
Visual Math Editor
R style tip: prefer functions that return data frames | R-bloggers
Google Analytics Customer Revenue Prediction | Kaggle
Optimization Using R
Visual Studio Dark • TmTheme Editor
R: Make Syntactically Valid Names
Subscripts and superscripts - Overleaf, Online LaTeX Editor
Tidy time series data using tsibbles | Rob J Hyndman
tidyverts
Advanced Data Analysis from an Elementary Point of View
d3/API.md at master · d3/d3
VizHub.com
ColorBrewer: Color Advice for Maps
D3.js - Data-Driven Documents
Margin Convention - bl.ocks.org
math.js | an extensive math library for JavaScript and Node.js
Math - JavaScript | MDN
Time Intervals - D3 wiki
SVG Text Element | DashingD3js.com
Force layout | D3 in Depth
Sticky Force Layout - bl.ocks.org
5 Crucial Concepts for Learning d3.js and How to Understand Them
D3 4.0 Sequential Scales Explorer - bl.ocks.org
How Selections Work
d3/d3-fetch: Convenient parsing for Fetch.
D3: Promise Syntax & Examples
Promise - JavaScript | MDN
Data manipulation in d3.js
D3 nest examples
Nesting and Accessing Data in D3v4 | Amber Thomas Data Portfolio & Blog
PlayCode - Code Sandbox. Online Code Editor
SQLite in Python (article) - DataCamp
SQLite FTS3 and FTS4 Extensions
Pig Latin Average Function - Thomas Henson
GROUP operator in Apache Pig | SquareCog's SquareBlog
jetbrains ide - IntelliJ: Error: java: release version 10 not supported - Stack Overflow
Java Programming Cheatsheet
Java Convert String to int - javatpoint
openrefine.github.com
Resources - OpenRefine - LibGuides at University of Illinois at Urbana-Champaign
Applied Statistics Using Stata: A Guide for the Social Sciences | SAGE Companion
(7) Undergraduate econometrics syllabus - YouTube
Linear Regression - Econometrics Academy
econometricsacademy - YouTube - YouTube
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
Markdown Guide: Basics, Tips and Tricks on how to use Markdown
How to Set Up & Use Atom as a Markdown Editor - Portent
Turnitin
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
Publications - Association for Financial Professionals
Bionic Turtle | Acquire Expert Finance Skills, Pass the FRM Exam
Cymath | Math Problem Solver with Steps | Math Solving App
Dashboard | Khan Academy
FTP - Online LaTeX Editor Overleaf
Codecademy
Octave-Forge download | SourceForge.net
Nelnet
Login - EdAssist
Home - EdAssist
Homepage | JuliaAcademy
Earned Badges - Acclaim
Search for online degree programs | Indiana University Online Online
LaTeX - Mathematical Python
MathJax basic tutorial and quick reference - Mathematics Meta Stack Exchange
dcc.Slider | Dash for Python Documentation | Plotly
Supercharge Your Classes With Python super() – Real Python
mypy - Optional Static Typing for Python
Home - tqdm documentation
Speeding up your code (2): vectorizing the loops with Numpy - By
Python Tutorial: Recursive Functions
Overview — Python YAML package documentation
Working with Collections — Dask 2.10.1+32.gd676b2d8 documentation
How to use a clustering technique for synthetic data generation
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
Using pre-trained word embeddings
RPubs - Dynamic Time Warping (DTW) and time series clustering
Quick Start — tsfresh 0.12.0 documentation
Tsfresh Features and Regression Blend | Kaggle
holidays · PyPI
Smoothing time series in Pandas | Bartosz Mikulski
Dynamic Time Warping (DTW) - Data Driven Investor - Medium
1 Introduction | Introduction to Econometrics with R
Styling — pandas 0.25.3 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
ColorBrewer: Color Advice for Maps
Powerful Page Templates in Flask With Jinja
Content Replication Using AWS Lambda and Amazon S3 | AWS Compute Blog
Table of Contents — How to Think like a Computer Scientist: Interactive Edition
Publications | Rob J Hyndman
GitHub - snowflakedb/snowflake-sqlalchemy: Snowflake SQLAlchemy
pandas.DataFrame.to_sql — pandas 0.25.3 documentation
Introduction to MongoDB and Python – Real Python
Basics · JuliaDB.jl
Big Data · OnlineStats Docs
GitHub Markdown CSS demo
============================================================================
Cluster: 27
PrettyPandas
GitHub - Menelau/DESlib: A Python library for dynamic classifier and ensemble selection
xgboost/cross_validation.py at master · dmlc/xgboost · GitHub
GitHub - jupyter/nbconvert: Jupyter Notebook Conversion
Gephi
GitHub - ipython/ipyparallel: Interactive Parallel Computing in Python
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.
GitHub - tuanavu/airflow-tutorial at v0.7
GitHub - dbader/schedule: Python job scheduling for humans.
BMC/detect_cusum.py at master · demotu/BMC · GitHub
GitHub - fchollet/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"
GitHub - matroid/dlwithtf: TensorFlow for Deep Learning Book
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
rodyager/RWTS-PDFwriter: An OSX print to pdf-file printer driver
caret/glmStepAIC.R at master · topepo/caret · GitHub
GitHub - hadley/rvest: Simple web scraping for R
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
GitHub - monisjaved/Data-Processing-With-Hadoop: Text Processing Using Hadoop
General Refine Expression Language · OpenRefine/OpenRefine Wiki
GitHub
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
GitHub - scikit-learn-contrib/DESlib: A Python library for dynamic classifier and ensemble selection
GitHub - EthanRosenthal/skits: scikit-learn-inspired time series
dash-sample-apps/apps/dash-opioid-epidemic at master · plotly/dash-sample-apps · GitHub
Sample DAG to download from S3, sleep, and reupload · GitHub
flask-tutorial/app.py at master · bhavaniravi/flask-tutorial · GitHub
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 - frankzickert/jupyterlab-configuration: Containerized and Script-controlled JupyterLab Project Environment
============================================================================
Cluster: 28
Matt Davis: A Practical Introduction to Airflow | PyData SF 2016 - YouTube
Airflow tutorial 1: Introduction to Apache Airflow - YouTube
Apache Airflow Tutorials - YouTube
GitHub - apache/airflow: Apache Airflow
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
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
Airflow: Lesser Known Tips, Tricks, and Best Practises
Manage Data Pipelines with Apache Airflow
python - Store and access password using Apache airflow - Stack Overflow
We’re All Using Airflow Wrong and How to Fix It - Bluecore Engineering - Medium
docker-airflow/README.md at master · puckel/docker-airflow · GitHub
============================================================================
Cluster: 29
Parallel Processing in Python - A Practical Guide with Examples | ML+
Parallelize Machine Learning in R with Multi-Core CPUs - Data Acumen
Embarrassingly parallel for loops — joblib 0.13.2 documentation
2015-03-14-Parallel-Processing-on-Single-Machine-Part-I
Quick Intro to Parallel Computing in R
Speedup Your R Code with RStudio in AWS – Sicara's blog
Parallel Processing in R
Overview of Parallel Processing in R – Learn by Marketing
Let's be Faster and more Parallel in R with doParallel package | R-bloggers
Using ipyparallel — Computational Statistics in Python
============================================================================
Cluster: 30
Dashboard | edX
Baltimore Map and Parking | Johns Hopkins Carey Business School
PY4E - Python for Everybody
Hadoop Tutorial - YDN
Microsoft Professional Program in Big Data | edX
Big Data | edX
Computer Science Essentials for Software Development | edX
Applied and Computational Mathematics | Johns Hopkins University Engineering for Professionals
============================================================================
Cluster: 31
4 Relationships between words: n-grams and correlations | Text Mining with R
Hadoop & Mapreduce Examples: Create your First Program
Passing Multiple Values in MapReduce Part 1: Strings
Hadoop Hello World Example | Examples Java Code Geeks - 2019
A MapReduce overview - Towards Data Science
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
Calculating a Co-Occurrence Matrix With Hadoop - Random Thoughts on Coding
Latent Dirichlet Allocation (LDA) with Python
Python for NLP: Topic Modeling
NLP with Python: Text Feature Extraction - Sanjaya’s Blog
============================================================================
Cluster: 32
re — Regular expression operations — Python 3.7.2 documentation
An introduction to parallel programming using Python's multiprocessing module
multiprocessing — Process-based parallelism — Python 3.8.0a2 documentation
Events — SimPy 3.0.11 documentation
https://pyyaml.org/wiki/PyYAMLDocumentation
Python Programming
Object-Oriented Programming (OOP) in Python 3 – Real Python
Parallel_Processing_in_Python
Improve Your Python: Python Classes and Object Oriented Programming
Building a Microservice in Python - Sonu Sharma - Medium
Getting Started with Asyncio in Python | TutorialEdge.net
Speed Up Your Python Program With Concurrency – Real Python
datetime — Basic date and time types — Python 3.7.5rc1 documentation
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
jQuery API Documentation
Fast scraping in python with asyncio
Template Designer Documentation — Jinja Documentation (2.11.x)
pyspark package — PySpark master documentation
Working with Engines and Connections — SQLAlchemy 1.3 Documentation
SQL Expression Language Tutorial — SQLAlchemy 1.3 Documentation
collection – Collection level operations — PyMongo 3.9.0 documentation
Think Julia: How to Think Like a Computer Scientist
============================================================================
Cluster: 33
Georgia Tech OMS Analytics - Google+
Databricks Community Edition
JHU
My MathWorks Account
Apply Operations To Elements
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.
Mastering Markdown · GitHub Guides
Home | Vim Cheat Sheet
Learning from Examples · Mindsdb
Machine Learning in R - Next Generation • mlr3
pgAdmin4
Start a new git repository
Git - git-commit Documentation
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
Hello World · GitHub Guides
Getting started with Git and GitHub: the complete beginner’s guide
Feature Branches and Pull Requests : Walkthrough · GitHub
============================================================================
Cluster: 34
DVA Project Ideas - Google Docs
User's Guide — Matplotlib 3.0.2 documentation
RestructuredText Guide — The RestructuredText Book 0.1 documentation
Overview — Conda documentation
Create an isolated Python 3.4 environment with Boto 3 on EC2 using virtualenv
User Guides — Boto 3 Docs 1.12.13 documentation
Welcome to SymPy’s documentation! — SymPy 1.6.2 documentation
TensorFlow for R
About this guide - Learn JS Data
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
Using S3 Just Like a Local File System in Python - The Startup - Medium
============================================================================
Cluster: 35
reStructuredText Directives
tslearn’s documentation — tslearn 0.1.29 documentation
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
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
Example Google Style Python Docstrings — Sphinx 1.5.6 documentation
Python Docstrings: Reference & Examples
Getting Started with Sphinx / Autodoc: Part 1 - Michael Dunn - Medium
API Reference — tslearn 0.2.5 documentation
============================================================================
Cluster: 36
limit of x to infty ((x-xsqrt(x))/(2x^{ 3/2 )+3x-5}) - Limit Calculator - Symbolab
Generating network graphs with Python and pygexf – Fredrik Bergstrand's Weblog
Visualizing Network Graphs — Bokeh 2.0.2 Documentation
Shortest Paths — NetworkX 1.10 documentation
Understanding Boxplots – Towards Data Science
Google Knowledge Graph Search API | Knowledge Graph Search API | Google Developers
Desmos | Graphing Calculator
Online Derivative Calculator • Shows All Steps!
============================================================================
Cluster: 37
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
Impact of Scaling on Feature Selection with RFE
Time Series Analysis: KERAS LSTM Deep Learning - Part 1
perturb function | R Documentation
KNN R, K-Nearest Neighbor implementation in R using caret package
How and when: ridge regression with glmnet
Penalized Logistic Regression Essentials in R: Ridge, Lasso and Elastic Net - Articles - STHDA
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
Stepwise Regression Essentials in R - Articles - STHDA
Quick-R: Regression Diagnostics
Regularization: Ridge, Lasso and Elastic Net (article) - DataCamp
Penalized Regression Essentials: Ridge, Lasso & Elastic Net - Articles - STHDA
10.3 Fixed Effects Regression | Introduction to Econometrics with R
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