Decison Trees, Random Forrests, Ensemble Methods

AWS, Vagrant, and Spark

Lab 5, the first on Machine Learning!

Python solutions to Andrew Ng's Machine Learning Course Exercises

Official content for the Fall 2014 Harvard CS109 Data Science course

Public material for CS109

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Lab for Linear and Logistic Regression, SciKit Learn

Lectures for Udemy - Complete Python Bootcamp Course

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Cheat Sheets

A Python scikit for building and analyzing recommender systems

Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interview book, etc.

CatBoost tutorials repository

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

DataCamp data-science courses

Sentiment Analysis of Customer Reviews for a Photo Company

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

Project