Data Science Resources
Table of Contents :
| No | Section | Link |
|---|---|---|
| 1 | Ebooks | Click Here |
| 2 | Interview Resources | Click Here |
| 3 | CheatSheets | Click Here |
Ebooks
| No | Section | Link |
|---|---|---|
| 1 | Data Analysis | Click Here |
| 2 | Data Science | Click Here |
| 3 | Deep Learning | Click Here |
| 4 | Machine Learning | Click Here |
| 5 | Miscellaneous | Click Here |
| 6 | Natural Language Processing | Click Here |
| 7 | Python | Click Here |
| 8 | SQL | Click Here |
| 9 | Statistics | Click Here |
| 10 | Text Analysis | Click Here |
Data Analysis
Data Science
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Data Science From Scratch | Joel Grus | |
| 2 | Python Data Science Handbook | Jake VanderPlas |
Deep Learning
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville |
Machine Learning
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Machine Learning | Tom M. Mitchell | |
| 2 | Introduction to Machine Learning | Ethem Alpaydın | |
| 3 | Machine Learning : A Probabilistic Perspective | Kevin P. Murphy | |
| 4 | Understanding Machine Learning: From Theory to Algorithms | Shai-Shalev Schwatrz, Shai Ben-David | |
| 5 | Machine Learning Models and Algorithms for Big Data Classification | Shan Sutharan | |
| 6 | Prediction Machines | Ajay Agarwal, Joshua Gans, Avi Goldfarb | |
| 7 | Python Machine Learning | Sebastian Raschka |
Miscellaneous
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Hadoop : The definitive guide | Tom White |
Natural Language Processing
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Natural Language Processing with Python | Steven Bird, Ewan Klein & Edward Loper |
Python
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Python Notes for Professionals | – |
SQL
| No | Title | Author | Link |
|---|---|---|---|
| 1 | SQL for dummies | Allen G. Taylor |
Statistics
| No | Title | Author | Link |
|---|---|---|---|
| 1 | The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman | |
| 2 | Practical Statistics for Data Scientists | Peter Bruce, Andrew Bruce | |
| 3 | Statistics for Buissness and Economics | Anderson Sweeney Williams | |
| 4 | Statistics in Python | Gael Varoquaux | |
| 5 | Statistics Unplugged | Sally Caldwell | |
| 6 | The Cartoon Guide to Statistics | Larry Gonick, Woollcott Smith |
Text Analysis
| No | Title | Author | Link |
|---|---|---|---|
| 1 | Applied Text Analysis with Python | Benjamin Bengfort, Rebecca Bilbro & Tony Ojeda |
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