Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
The best resources around Machine Learning
vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.
In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.
R package to interface with OpenML
This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth
Machine learning online course from Andrew Ng.
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
Documentation for Deeplearning4j - Deep Learning for the JVM, Java & Scala
Internship project
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
ugtm: a Python package for Generative Topographic Mapping
Teach you how to implement machine learning algorithms
Using data and machine learning to analyze football players
A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.
MLgenerator is a web app which help you to generate machine learning starter code with ease.
In this project, I have created simple model which predict the price of the house on the basis of it's area.
Air Quality Prediction using Machine Learning
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍