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
Title
Author
Link
1
Python for Data Analysis
Wes McKinney
pdf
2
Think Stats
Allen B. Downey
pdf
No
Title
Author
Link
1
Data Science From Scratch
Joel Grus
pdf
2
Python Data Science Handbook
Jake VanderPlas
pdf
3
Think Like A Data Scientist
Brian Godsey
pdf
No
Title
Author
Link
1
Advanced Applied Deep Learning
Umberto Michelucci
pdf
2
Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
pdf
No
Title
Author
Link
1
Hands on Machine Learning with Scikit-Learn, Keras & Tensorflow
Aurélien Géron
pdf
2
Introduction to Machine Learning
Ethem Alpaydın
pdf
3
Machine Learning
Tom M. Mitchell
pdf
4
Machine Learning : A Probabilistic Perspective
Kevin P. Murphy
pdf
5
Machine Learning Models and Algorithms for Big Data Classification
Shan Sutharan
pdf
6
Prediction Machines
Ajay Agarwal, Joshua Gans, Avi Goldfarb
pdf
7
Python Machine Learning
Sebastian Raschka
pdf
8
Understanding Machine Learning: From Theory to Algorithms
Shai-Shalev Schwatrz, Shai Ben-David
pdf
9
Handbook of Research on Emerging Trends and Applications of Machine Learning
Arun Solanki, Sandeep Kumar, Anand Nayyar
pdf
10
Practical Machine Learning with AWS
Himanshu Singh
pdf
No
Title
Author
Link
1
Beginning Regular Expressions
Andrew Watt
pdf
2
Ethics of AI
Nick Bostrom, Eliezer Yudkowsky
pdf
3
Hadoop : The definitive guide
Tom White
pdf
4
Introduction to AI
Wolfgang Ertel
pdf
5
LearningAlgorithms
George T. Heineman
pdf
Natural Language Processing
No
Title
Author
Link
1
Natural Language Processing with Python
Steven Bird, Ewan Klein & Edward Loper
pdf
2
Real-World Natural Language Processing
Masato Hagiwara
pdf
No
Title
Author
Link
1
Python Notes for Professionals
-
pdf
No
Title
Author
Link
1
A Beginner's guide to R
Alain F. Zuur, Elena N. Leno, Erik H.W.G Meesters
pdf
2
R Programming for Data Science
Roger D. Peng
pdf
No
Title
Author
Link
1
Introduction to Regular Expression in SAS
K. Mathew Windham
pdf
No
Title
Author
Link
1
SQL for dummies
Allen G. Taylor
pdf
No
Title
Author
Link
1
An Introduction to Statistical Learning with Applications in R
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
pdf
2
Head First Statistics
Dawn Griffiths
pdf
3
Practical Statistics for Data Scientists
Peter Bruce, Andrew Bruce
pdf
4
Statistical Inference in Data Science
Brian Caffo
pdf
5
Statistics Unplugged
Sally Caldwell
pdf
6
Statistics for Buissness and Economics
Anderson Sweeney Williams
pdf
7
Statistics in Python
Gael Varoquaux
pdf
8
The Cartoon Guide to Statistics
Larry Gonick, Woollcott Smith
pdf
9
The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani, Jerome Friedman
pdf
No
Title
Author
Link
1
Applied Text Analysis with Python
Benjamin Bengfort, Rebecca Bilbro & Tony Ojeda
pdf
No
Title
Author
Link
1
Transfer Learning
Qiang Yang, Yu Zhang, Wenyan Dai, Sinno Jialin Pan
pdf
No
Title
Link
1
Big-data Analysis Interview Questions
pdf
1
Data Science Interview Questions
pdf
2
ML Interview Questions
pdf
3
ML Interview Questions Part 2
pdf
4
Python Interview Questions
pdf
5
Ultimate Guide to Data Science Interviews
pdf
No
Title
Link
1
CLI
pdf
2
Data Exploration in Python
pdf
3
git
pdf
4
git for subversion
pdf
5
Jupter Notebook
pdf
6
Kubernetes
pdf
7
Keras
pdf
8
Matplotlib
pdf
9
Pandas
pdf
10
Pandas DataFrames
pdf
11
Python3
pdf
12
Python basic
pdf
13
Python intermediate
pdf
14
Python for Data Science
pdf
15
Scikit-Learn
pdf
16
Seaborn
pdf
17
SQL
pdf
18
VS-code
pdf
19
Workflow of version control
pdf
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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