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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Practice your pandas skills!
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
An NLP workshop about concrete solutions to real problems
NLP in Python with Deep Learning
Python solutions to solve practical business problems.
A general-purpose framework for solving problems with machine learning applied to predicting customer churn
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Machine learning fundamentals lesson in interactive notebooks
Essential mathematics for applied machine learning and data science
Slides produced by Engineers and Data Scientists of Blue Yonder
Grassroots Machine Learning with Python - examples and tutorials
Repository for ML course in Dubai
Pandas is a powerful tool for data exploration and analysis (including timeseries).
Customer Analytics & Financial Valuation for Zakka Canada. This is the associated iPython Notebook code.
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
Measuring Customer Satisfaction with Natural Language Processing