INRIA / scikit-learn-moocLinks
Machine learning in Python with scikit-learn MOOC
☆1,315Updated last week
Alternatives and similar repositories for scikit-learn-mooc
Users that are interested in scikit-learn-mooc are comparing it to the libraries listed below
Sorting:
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆976Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆799Updated 5 years ago
- Interpretable Machine Learning with Python, published by Packt☆475Updated 3 weeks ago
- Probably the best curated list of data science books in Python☆422Updated last month
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 3 years ago
- An introduction to data science in Python, for people with no programming experience.☆454Updated 6 months ago
- 50 scikit-learn tips☆1,742Updated 3 years ago
- Efficient Python Tricks and Tools for Data Scientists☆1,476Updated 7 months ago
- ☆151Updated 3 years ago
- Cracking the Data Science Interview☆361Updated 5 years ago
- Python Feature Engineering Cookbook, published by Packt☆483Updated 3 weeks ago
- Python-centered read-along of Forecasting: Principles and Practice☆510Updated 2 months ago
- Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:☆575Updated 10 months ago
- ☆553Updated last year
- Errata and code for Effective Pandas book☆369Updated 2 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 3 years ago
- notebooks that are used at calmcode.io☆326Updated 4 years ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,012Updated last year
- Resources for Machine Learning Pocket Reference☆268Updated 4 years ago
- An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.☆417Updated last month
- A machine learning course using Python, Jupyter Notebooks, and OpenML☆874Updated 8 months ago
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆428Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,170Updated 3 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆446Updated last year
- An Introduction to Statistical Learning with Applications in PYTHON☆552Updated 3 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…☆715Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year