INRIA / scikit-learn-moocLinks
Machine learning in Python with scikit-learn MOOC
☆1,335Updated 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:
- Interpretable Machine Learning with Python, published by Packt☆475Updated last month
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 4 years ago
- Efficient Python Tricks and Tools for Data Scientists☆1,479Updated 9 months ago
- Probably the best curated list of data science books in Python☆428Updated 2 months ago
- ☆151Updated 4 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆985Updated 3 years ago
- Errata and code for Effective Pandas book☆373Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆822Updated 5 years ago
- An introduction to data science in Python, for people with no programming experience.☆467Updated 7 months ago
- Template for a data science project☆775Updated 5 months ago
- Python-centered read-along of Forecasting: Principles and Practice☆512Updated 4 months ago
- An ongoing list of pandas quirks☆990Updated 2 years ago
- Python Feature Engineering Cookbook, published by Packt☆487Updated last month
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆433Updated last year
- 50 scikit-learn tips☆1,744Updated 3 years ago
- ☆47Updated 3 years ago
- Plots from the book "Storytelling with data" implementation using Python and matplotlib☆380Updated 2 years ago
- Resources for Machine Learning Pocket Reference☆270Updated 4 years ago
- ☆561Updated last year
- A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.☆272Updated 3 weeks ago
- Cracking the Data Science Interview☆363Updated 6 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆703Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated last month
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,012Updated last year
- scikit-learn sprint docs☆184Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last month
- A roadmap for those looking to start or expand a career in the data community☆306Updated 5 months ago
- Practical Full-Stack Machine Learning☆707Updated 2 years ago
- ☆144Updated 4 years ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,170Updated 3 years ago