tohweizhong / pdf-dump
A dump of all the data science materials (mostly pdf's) that I have accumulated over the years
☆322Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for pdf-dump
- An Introduction to Statistical Learning with Applications in PYTHON☆529Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆309Updated 4 months ago
- The Ultimate Product Data Science & Analytics Resource☆59Updated 2 years ago
- "If your experiment needs a statistician, you need a better experiment." ― Ernest Rutherford☆130Updated 5 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆191Updated last year
- A roadmap for those looking to start or expand a career in the data community☆286Updated 6 months ago
- A list of resources for our society members who have upcoming interviews!☆94Updated 4 years ago
- Owsome books to understand different concepts☆96Updated 6 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆91Updated 2 years ago
- ☆115Updated 2 years ago
- English translation of the sample code to "Data Analysis Techniques to Win Kaggle" book☆29Updated 3 years ago
- Data Visualization with Python☆428Updated 4 years ago
- Python Feature Engineering Cookbook, published by Packt☆462Updated last year
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆137Updated 2 weeks ago
- Python Data Analysis, Third Edition, Published by Packt☆200Updated last year
- ☆62Updated 6 years ago
- Cracking the Data Science Interview☆335Updated 4 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆84Updated 8 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆411Updated 11 months ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆172Updated 3 months ago
- .pdf Format Books for Machine and Deep Learning☆207Updated 6 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆853Updated 3 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆47Updated 3 years ago
- ☆108Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆404Updated 2 years ago
- ☆107Updated last year
- Repo for Statistical Learning course offered by Stanford University☆44Updated 5 years ago
- My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.☆77Updated 5 years ago
- My Answer to 120 Data Science Interview Questions☆504Updated 4 years ago
- A Python primer for Georgia Tech's CSE 6040/x: Computing for Data Analysis☆24Updated 2 years ago