Directory Listing: Data Science
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- π 2011 - Data Mining [Witten].pdf
- π 2011 - Data Mining and Statistics for Decision Making [TuffΓ©ry].pdf
- π 2013 - Practical Data Analysis - [Cuesta].pdf
- π 2013 - Python for Data Analysis [McKinney].pdf
- π 2014 - Agile Data Science [Jurney].pdf
- π 2014 - Doing Data Science [Schutt, OβNeil].pdf
- π 2015 - Data Science from Scratch - First Principles with Python - [Joel Grus].pdf
- π 2015 - Fundamentals of Machine Learning for Predictive Data Analytics.pdf
- π 2015 - Python Data Analytics [Nelli].pdf
- π 2016 - Financial Signal Processing and Machine Learning - [Akansu, Kulkarni, Malioutov].pdf
- π 2016 - Principles of Data Science [Ozdemir].pdf
- π 2016 - Python Data Science Essentials [Boschetti, Massaron].pdf
- π 2017 - Hands-On Data Science and Python Machine Learning [Kane].pdf
- π 2017 - MATLAB Machine Learning [Paluszek].pdf
- π 2017 - Practical Statistics for Data Scientists - [Bruce, Bruce].pdf
- π 2017 - Python Data Science Handbook [VanderPlas].pdf
- π 2017 - Statistics for Machine Learning - [Pratap Dangeti].pdf
- π 2017 - The Elements of Statistical Learning [Hastie, Tibshirani, Friedman].pdf
- π 2018 - Advanced Data Analytics Using Python [Sayan Mukhopadhyay].pdf
- π 2018 - Basics for Linear Algebra for Machine Learning - [Brownlee].pdf
- π 2018 - Data science [Kelleher, Tierney].pdf
- π 2018 - Python-for-Data-Analysis-2nd-Edition - Wes McKinney].pdf
- π 2019 - Practical Data Science with SAP - [Foss, Modderman].pdf
- π 2020 - Build a Career in Data Science - [Nolis, Robinson].pdf