The purpose of this course is to examine the African American experience in the United States from 1863 to the present.

Learn the skills to get computers to understand, process, and respond to human language. Build models on real data, and get hands-on experience with sentiment analysis, machine translation, and more.

Build a solid foundation in Supervised, Unsupervised, Reinforcement, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.

Learn essential Artificial Intelligence concepts from AI experts like Peter Norvig and Sebastian Thrun, including search, optimization, planning, pattern recognition, and more.

Prepare for a data science career by learning the fundamental data programming tools: Python or R, SQL, command line, and git. Choose to enroll in either the Python or R track.

Learning the discipline of Test Driven Development (also known as TDD) Using the Python Programming Language

Data Science / Machine Learning is the most in-demand and Highest Paying job of 2017

The First Course in a Series for Mastering Python for Machine Learning Engineers

Manipulate, analyze, and visualize your data with powerful Python libraries - Pandas and scikit-learn

Learn Python Regular Expressions from Scratch. Lots of examples - 4 Real World Case Studies - 1 Project

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

Become a professional python programmer. Simple and straightforward concepts to help create your own programs and games.