unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
☆345Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Python-for-Probability-Statistics-and-Machine-Learning-2E
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆746Updated 2 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆883Updated 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…☆664Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆307Updated 4 months 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
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆398Updated last month
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆854Updated 3 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆275Updated last year
- ☆108Updated 3 years ago
- Python Feature Engineering Cookbook, published by Packt☆461Updated last year
- Statistics for Machine Learning, published by Packt☆150Updated last year
- Statistics and Machine Learning in Python☆187Updated 2 weeks ago
- Present your data as an effective and compelling story☆103Updated 4 years ago
- ☆138Updated last year
- Resources for Machine Learning Pocket Reference☆248Updated 3 years ago
- Note for Aurélien Géron's 2019 book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition"☆49Updated 3 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆270Updated 7 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆255Updated 4 years ago
- iPython NOtebooks on Stats☆162Updated 3 months ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆104Updated 7 years ago
- Materials for following along with Hands-On Data Analysis with Pandas.☆411Updated 11 months ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their caree…☆188Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆172Updated 3 months ago
- Applied Probability Theory for Everyone☆113Updated last month
- COMS W4995 Applied Machine Learning - Spring 19☆304Updated 5 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
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆61Updated 6 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆530Updated 2 years ago
- Porting the R code in ISL to python. Labs and exercises☆193Updated 2 years ago