Andreas Mueller is a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-lea...
O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly200 top publishers. Buy on AmazonBuy on ebooks.com Startyourfree trial Book description Machine learning has become an integral part of many commercial applications and ...
Paul Barry
They are simply a means to get work done. They have value only insofar as they help you get your job done better. We believe that Python is a valuable tool, specifically because it enables you to get your work done efficiently. So is Python better than Perl, Bash, Ruby, or any other...
O'Reilly MediaGuido S, Muller AC. Introduction to machine learning with Python: a guide for data scientists. USA, O'Reilly Media; 2017.Muller A.C., Guido S. (2017) Introduction to Machine Learning with Python: A Guide for Data Scientists - Sebastopol, CA: O'Reilly Media, Second Edition...
Chapter 1. Introduction to Data Wrangling and Data Quality These days it seems like data is the answer to everything: we use the data in product and restaurant reviews to … - Selection from Practical Python Data Wrangling and Data Quality [Book]
Chapter 1. Introduction to Causal Inference In this first chapter I’ll introduce you to a lot of the fundamental concepts of causal inference as well as its main challenges and … - Selection from Causal Inference in Python [Book]
Preface to Python Data Science Handbook (Early Release)Jake VanderPlas