rasbt / python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
☆7,153Updated 4 years ago
Alternatives and similar repositories for python-machine-learning-book-2nd-edition:
Users that are interested in python-machine-learning-book-2nd-edition are comparing it to the libraries listed below
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,355Updated 3 months ago
- The "Python Machine Learning (3rd edition)" book code repository☆4,758Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,327Updated last year
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,792Updated 4 years ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆27,983Updated 11 months ago
- Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written…☆5,469Updated last year
- Jupyter notebooks from the scikit-learn video series☆3,693Updated last year
- Code for Tensorflow Machine Learning Cookbook☆6,247Updated 9 months ago
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,038Updated 8 months ago
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆17,997Updated 4 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,296Updated 2 years ago
- I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter…☆2,040Updated 6 years ago
- Repository of teaching materials, code, and data for my data analysis and machine learning projects.☆6,244Updated last year
- A collection of IPython notebooks covering various topics.☆2,610Updated 4 years ago
- TensorFlow Tutorials with YouTube Videos☆9,282Updated 4 years ago
- common data analysis and machine learning tasks using python☆5,386Updated 11 months ago
- Tutorial material on the scientific Python ecosystem☆3,127Updated 2 weeks ago
- A curated list of data science blogs☆6,347Updated 9 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,483Updated 4 years ago
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,092Updated 8 months ago
- A collection of various notebook extensions for Jupyter☆5,263Updated 8 months ago
- aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-firs…☆27,221Updated 8 months ago
- This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.☆10,336Updated 4 years ago
- The most cited deep learning papers☆25,753Updated last year
- Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)☆11,286Updated 2 years ago
- Matplotlib 3.1 cheat sheet.☆2,908Updated 4 years ago
- 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained☆23,353Updated 4 months ago
- Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-m…☆15,182Updated 5 years ago
- PRML algorithms implemented in Python☆11,551Updated 5 months ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,907Updated 8 months ago