unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
☆353Updated 3 years ago
Alternatives and similar repositories for Python-for-Probability-Statistics-and-Machine-Learning-2E:
Users that are interested in Python-for-Probability-Statistics-and-Machine-Learning-2E are comparing it to the libraries listed below
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆757Updated 2 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆905Updated 2 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆408Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆321Updated 6 months ago
- An introduction to data science in Python, for people with no programming experience.☆413Updated 2 months ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆349Updated 4 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…☆674Updated 2 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆265Updated 4 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆868Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆752Updated 4 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 6 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆414Updated 4 months ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆676Updated 3 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆285Updated 6 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Pandas Cookbook Second Edition, published by Packt☆293Updated 2 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,874Updated last month
- Pandas tutorial for SciPy 2019☆101Updated last year
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Bayesian Analysis with Python by Packt☆216Updated 2 years ago
- Notes from Introduction to Statistical Learning☆114Updated 7 years ago
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆735Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆697Updated 4 years ago
- Machine learning course materials.☆573Updated last year
- ☆141Updated last year
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,222Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- ☆108Updated 3 years ago