unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
☆343Updated 2 years ago
Related projects: ⓘ
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆733Updated last year
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆854Updated 2 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
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆270Updated last year
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆296Updated last month
- Statistics and Machine Learning in Python☆182Updated last week
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆845Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆247Updated 3 years ago
- Statistics for Machine Learning, published by Packt☆150Updated last year
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆382Updated 3 years ago
- Pandas Cookbook Second Edition, published by Packt☆283Updated last year
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆861Updated 2 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie …☆284Updated 6 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆528Updated 2 years ago
- ☆106Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆189Updated 2 years ago
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆727Updated 2 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆122Updated 2 months ago
- Bayesian Analysis with Python by Packt☆209Updated last year
- Present your data as an effective and compelling story☆102Updated 4 years ago
- An introduction to data science in Python, for people with no programming experience.☆368Updated 3 weeks ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆61Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- Resources for Machine Learning Pocket Reference☆244Updated 2 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆183Updated 11 months ago
- Python Feature Engineering Cookbook, published by Packt☆456Updated last year
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆410Updated 9 months ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆104Updated 6 years ago
- Data Science Best Practices with pandas☆527Updated 4 years ago