zhouxc / Stanford-Machine-Learning-CourseLinks
machine learning course programming exercise
☆528Updated 14 years ago
Alternatives and similar repositories for Stanford-Machine-Learning-Course
Users that are interested in Stanford-Machine-Learning-Course are comparing it to the libraries listed below
Sorting:
- Exercises for the Stanford/Coursera Machine Learning Class☆249Updated 13 years ago
- Algorithm implementations and homework solutions for the Stanford's online courses☆548Updated 12 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆396Updated 6 years ago
- Machine learning programming exercises☆315Updated 8 years ago
- Machine Learning with Coursera☆387Updated 4 months ago
- Lecture notes and assignments for coursera machine learning class☆96Updated 12 years ago
- Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.☆224Updated 7 years ago
- Python coded examples and documentation of machine learning algorithms.☆609Updated 5 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆922Updated 7 years ago
- the best machine learning tutorials on the web☆476Updated 14 years ago
- machine learning and deep learning tutorials, articles and other resources☆243Updated 5 years ago
- Completed assignments from Coursera Machine Learning course - March 2014☆111Updated 8 years ago
- This is the Syllabus for Siraj Raval's new course "The Math of Intelligence"☆394Updated 8 years ago
- ☆575Updated 7 years ago
- Implementations of classic Machine Learning algorithms☆190Updated 5 years ago
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆670Updated 3 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆313Updated 4 years ago
- A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.☆145Updated 6 years ago
- Exercises for my tutorials on Theano☆687Updated 10 years ago
- ☆265Updated 8 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆263Updated 9 years ago
- This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube☆294Updated 3 years ago
- Scikit-learn tutorial at SciPy2016☆519Updated 6 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆696Updated 11 years ago
- Free deep learning papers☆350Updated 4 years ago
- practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014☆282Updated 4 years ago
- deeplearning.ai , By Andrew Ng, All video link☆657Updated 7 years ago
- Deep Learning and Unsupervised Feature Learning Tutorial Solutions☆393Updated 8 years ago
- Programming Exercises on http://ml-class.org☆435Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆801Updated 4 years ago