Data Science eBooks, Interview Resources and Cheat sheets

Data Science Resources


Table of Contents :

NoSectionLink
1EbooksClick Here
2Interview ResourcesClick Here
3CheatSheetsClick Here

Ebooks

NoSectionLink
1Data AnalysisClick Here
2Data ScienceClick Here
3Deep LearningClick Here
4Machine LearningClick Here
5MiscellaneousClick Here
6Natural Language ProcessingClick Here
7PythonClick Here
8SQLClick Here
9StatisticsClick Here
10Text AnalysisClick Here

Data Analysis

NoTitleAuthorLink
1Python for Data AnalysisWes McKinneypdf
2Think StatsAllen B. Downeypdf

Data Science

NoTitleAuthorLink
1Data Science From ScratchJoel Gruspdf
2Python Data Science HandbookJake VanderPlaspdf

Deep Learning

NoTitleAuthorLink
1Deep LearningIan Goodfellow, Yoshua Bengio, Aaron Courvillepdf

Machine Learning

NoTitleAuthorLink
1Machine LearningTom M. Mitchellpdf
2Introduction to Machine LearningEthem Alpaydınpdf
3Machine Learning : A Probabilistic PerspectiveKevin P. Murphypdf
4Understanding Machine Learning: From Theory to AlgorithmsShai-Shalev Schwatrz, Shai Ben-Davidpdf
5Machine Learning Models and Algorithms for Big Data ClassificationShan Sutharanpdf
6Prediction MachinesAjay Agarwal, Joshua Gans, Avi Goldfarbpdf
7Python Machine LearningSebastian Raschkapdf

Miscellaneous

NoTitleAuthorLink
1Hadoop : The definitive guideTom Whitepdf

Natural Language Processing

NoTitleAuthorLink
1Natural Language Processing with PythonSteven Bird, Ewan Klein & Edward Loperpdf

Python

NoTitleAuthorLink
1Python Notes for Professionalspdf

SQL

NoTitleAuthorLink
1SQL for dummiesAllen G. Taylorpdf

Statistics

NoTitleAuthorLink
1The Elements of Statistical LearningTrevor Hastie, Robert Tibshirani, Jerome Friedmanpdf
2Practical Statistics for Data ScientistsPeter Bruce, Andrew Brucepdf
3Statistics for Buissness and EconomicsAnderson Sweeney Williamspdf
4Statistics in PythonGael Varoquauxpdf
5Statistics UnpluggedSally Caldwellpdf
6The Cartoon Guide to StatisticsLarry Gonick, Woollcott Smithpdf

Text Analysis

NoTitleAuthorLink
1Applied Text Analysis with PythonBenjamin Bengfort, Rebecca Bilbro & Tony Ojedapdf

How to Contribute

If you find a nice ebook or interview resource or cheatsheet related to Data Science, feel free to fork PythonBooks and add it in a few steps :

  • Fork the repository.
  • Add your ebook.
  • Submit a pull request.

That’s it.

Alternatively, you can send us an email with book infos : ssiddharth408@gmail.com

Thanks per advance