Machine Learning Resources, Practice and Research

Python code for common Machine Learning Algorithms

A list of popular github projects related to deep learning

This project introduces two Python scripts which uses OpenCV's trained Face Detection Neural Network to detect faces from images and videos.

This capstone project is part of the Applied Data Science Capstone course on Coursera that explores the Foursquare and Zomato API together to explore venues in Chandigarh, India based on ratings an…

📚 Freely available programming books

In this repository, I work with a Jupyter notebook that highlights some of the key plots in Seaborn library to get started with.

This project develops a deep learning model that trains on 1.6 million tweets for sentiment analysis to classify any new tweet as either being positive or negative.

This repository hosts all the deep learning models developed as part of the Deep Learning A-Z course on Udemy.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Cheat Sheets

A small repository explaining how you can validate your linear regression model based on assumptions

This project explores colors in various images and then enables the user to query the images based on a given color.

Data Science Tutorials

Notebooks for learning deep learning

Last Minute Note of Machine learning and Deep learning by Jason Brownlee

The project deals with using Machine Learning on Census Income dataset to predict if income is above or below $50K per annum.

📚 A practical approach to learning and using machine learning.

The project trains an Artificial Neural Network which can predict whether a visitor will generate revenue for the company or not.

This data visualization project explores various libraries including gmplot, GeoPandas, Plotly and Bokeh to plot locations on maps using the latitude and longitude values.

This repository hosts all the machine learning models developed as part of the Machine Learning A-Z course on Udemy.

Math for Data Science

This repository includes analysis of classification results based on Receiver Operating Characteristic (ROC) Curve and Cumulative Accuracy Profile (CAP) Curves.

A curated list of awesome Deep Learning tutorials, projects and communities.

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers