mstampfer / Coursera-Stanford-ML-Python
Coursera/Stanford Machine Learning course assignments in python
☆447Updated 4 years ago
Alternatives and similar repositories for Coursera-Stanford-ML-Python:
Users that are interested in Coursera-Stanford-ML-Python are comparing it to the libraries listed below
- Coursera Machine Learning - Python code☆865Updated 4 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
- Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.☆225Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Udacity's Machine Learning Nanodegree project files and notes.☆253Updated 8 years ago
- Notebook to download machine learning flashcards☆455Updated 4 years ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆323Updated last year
- This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.☆53Updated 7 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆258Updated 8 years ago
- ☆213Updated 3 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆100Updated 8 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Python coded examples and documentation of machine learning algorithms.☆611Updated 4 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆923Updated 6 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆177Updated 7 years ago
- ☆108Updated 3 years ago
- Repo cataloging my coursework for Andrew Ng's ML MOOC☆145Updated 4 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆219Updated 8 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- 🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)☆71Updated 6 years ago
- Machine Learning with Coursera☆384Updated 2 months ago
- A step-by-step guide to get started with Applied Machine Learning☆139Updated 6 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆895Updated 4 years ago
- Completed assignments from Coursera Machine Learning course - March 2014☆112Updated 7 years ago
- Code files for Python-Machine-Learning-Cookbook☆452Updated 2 years ago
- Assignments for University of Washington Machine Learning Specialization through Coursera☆44Updated 6 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆655Updated 4 years ago