Skip to content

jawwad007/Fast-Track-to-Data-Science-30-Days

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DSC 30 day workshop

Go to our Youtube channel to watch the daily lectures.

Join us on Discord.

Join DSC-NEDUET

Course Outline

Course Outline

All Slides are accessible in below link

Go to: Slides.

Python Data Science Handbook

Handbook

Installation

Learn about python installation from here. Handbook

Books

Books

1: 100 pages Ml book by Andriy Burkov

2: Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems-O’Reilly Media (2019)

3: Andreas C. Müller, Sarah Guido - Introduction to Machine Learning with Python_ A Guide for Data Scientists-O’Reilly Media (2016)

4: Data Science For Business by Foster

5: Hands-on Deep Learning algorithms Sudharsan Ravichandiran (packt)

6: Deep Learning by Ian GoodFellow

7: Data Science from Scratch First Principles with Python 2nd Ed by Joel Grus (O'reilly)

8: Machine Learning_ A Probabilistic Perspective [Murphy] MIT

9: Pattern Recognition in ML by Bishop

10: Elements of Statistical Learning by Hastie and other

11: Introduction to Statistical Learning by Hastie and other

12: Practical Statistics for Data Scientists_ 50+ Essential Concepts Using R and Python-O'Reilly Media (2020) BYPeter Bruce, Andrew Bruce, Peter Gedeck

All Notes

All viewable notes are available here

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%