Data Science E-books, Interview Resources and Cheat-sheets
This list contains free learning resources and Interview resources for Data Science, Machine Learning, Deep Learning, Data Analysis, NLP, Big Data and other Data Science related tools.
No | Section | Link |
---|---|---|
1 | E-books | Click Here |
2 | Interview Resources | Click Here |
3 | Cheat-Sheets | Click Here |
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 | R | Click Here |
9 | SAS | Click Here |
10 | SQL | Click Here |
11 | Statistics | Click Here |
12 | Text Analysis | Click Here |
No | Title | Author | Link |
---|---|---|---|
1 | Python for Data Analysis | Wes McKinney | |
2 | Think Stats | Allen B. Downey |
No | Title | Author | Link |
---|---|---|---|
1 | Data Science From Scratch | Joel Grus | |
2 | Python Data Science Handbook | Jake VanderPlas | |
3 | Think Like A Data Scientist | Brian Godsey |
No | Title | Author | Link |
---|---|---|---|
1 | Deep Learning | Ian Goodfellow, Yoshua Bengio, Aaron Courville |
No | Title | Author | Link |
---|---|---|---|
1 | Hands on Machine Learning with Scikit-Learn, Keras & Tensorflow | Aurélien Géron | |
2 | Introduction to Machine Learning | Ethem Alpaydın | |
3 | Machine Learning | Tom M. Mitchell | |
4 | Machine Learning : A Probabilistic Perspective | Kevin P. Murphy | |
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 | |
8 | Understanding Machine Learning: From Theory to Algorithms | Shai-Shalev Schwatrz, Shai Ben-David |
No | Title | Author | Link |
---|---|---|---|
1 | Beginning Regular Expressions | Andrew Watt | |
2 | Ethics of AI | Nick Bostrom, Eliezer Yudkowsky | |
3 | Hadoop : The definitive guide | Tom White | |
4 | Introduction to AI | Wolfgang Ertel |
No | Title | Author | Link |
---|---|---|---|
1 | Natural Language Processing with Python | Steven Bird, Ewan Klein & Edward Loper |
No | Title | Author | Link |
---|---|---|---|
1 | Python Notes for Professionals | - |
No | Title | Author | Link |
---|---|---|---|
1 | A Beginner’s guide to R | Alain F. Zuur, Elena N. Leno, Erik H.W.G Meesters | |
2 | R Programming for Data Science | Roger D. Peng |
No | Title | Author | Link |
---|---|---|---|
1 | Introduction to Regular Expression in SAS | K. Mathew Windham |
No | Title | Author | Link |
---|---|---|---|
1 | SQL for dummies | Allen G. Taylor |
No | Title | Author | Link |
---|---|---|---|
1 | An Introduction to Statistical Learning with Applications in R | Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani | |
2 | Head First Statistics | Dawn Griffiths | |
3 | Practical Statistics for Data Scientists | Peter Bruce, Andrew Bruce | |
4 | Statistical Inference in Data Science | Brian Caffo | |
5 | Statistics Unplugged | Sally Caldwell | |
6 | Statistics for Buissness and Economics | Anderson Sweeney Williams | |
7 | Statistics in Python | Gael Varoquaux | |
8 | The Cartoon Guide to Statistics | Larry Gonick, Woollcott Smith | |
9 | The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman |
No | Title | Author | Link |
---|---|---|---|
1 | Applied Text Analysis with Python | Benjamin Bengfort, Rebecca Bilbro & Tony Ojeda |
No | Title | Link |
---|---|---|
1 | Big-data Analysis Interview Questions | |
1 | Data Science Interview Questions | |
2 | ML Interview Questions | |
3 | ML Interview Questions Part 2 | |
4 | Python Interview Questions | |
5 | Ultimate Guide to Data Science Interviews |
No | Title | Link |
---|---|---|
1 | CLI | |
2 | Data Exploration in Python | |
3 | git | |
4 | git for subversion | |
5 | Jupter Notebook | |
6 | Kubernetes | |
7 | Matplotlib | |
8 | Pandas | |
9 | Pandas DataFrames | |
10 | Python3 | |
11 | Python basic | |
12 | Python intermediate | |
13 | Python for Data Science | |
14 | Seaborn | |
15 | SQL | |
16 | VS-code | |
17 | Workflow of version control |
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 :
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