tohweizhong / pdf-dumpLinks
A dump of all the data science materials (mostly pdf's) that I have accumulated over the years
☆387Updated 3 years ago
Alternatives and similar repositories for pdf-dump
Users that are interested in pdf-dump are comparing it to the libraries listed below
Sorting:
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆748Updated 4 years ago
- Cracking the Data Science Interview☆352Updated 5 years ago
- ☆347Updated 8 years ago
- ☆139Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆929Updated 2 years ago
- Statistics for Machine Learning, published by Packt☆155Updated 2 years ago
- Probably the best curated list of data science books in Python☆408Updated 2 years ago
- A Python primer for Georgia Tech's CSE 6040/x: Computing for Data Analysis☆29Updated 3 years ago
- ☆75Updated 7 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆541Updated 3 years ago
- Pandas Cookbook Second Edition, published by Packt☆295Updated 2 years ago
- A/B Testing — A complete guide to statistical testing☆168Updated 2 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆686Updated 2 years ago
- Code repository for O'Reilly book☆3,004Updated 4 months ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆933Updated 2 years ago
- Download ebook free from VNTALKING☆45Updated 5 years ago
- Python Data Analysis, Third Edition, Published by Packt☆205Updated 3 weeks ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆180Updated 10 months ago
- Compilation of resources for aspiring data scientists☆2,089Updated 11 months ago
- A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn☆698Updated 5 years ago
- Fundamental Python workshop, proudly presented by the UCL Data Science Society☆47Updated 3 years ago
- Roadmap to learn Data Science and related areas.☆277Updated 2 years ago
- ☆143Updated last year
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆258Updated 7 years ago
- ☆44Updated 6 years ago
- Notes from Introduction to Statistical Learning☆116Updated 7 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆140Updated 2 months ago
- ☆86Updated 2 years ago
- Collection of free Data Science pdfs☆88Updated 8 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆887Updated 3 years ago