rickwierenga / CS229-PythonLinks
Exercises and solutions to Stanford CS229 Machine Learning in Python
☆206Updated 2 years ago
Alternatives and similar repositories for CS229-Python
Users that are interested in CS229-Python are comparing it to the libraries listed below
Sorting:
- The offical notes of Andrew Ng Machine Learning in Stanford University☆291Updated 3 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆446Updated last year
- Machine Learning notebooks for refreshing concepts.☆534Updated 4 years ago
- Documenting my python implementation of Andrew Ng's Machine Learning course☆312Updated 6 years ago
- ☆204Updated 3 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆92Updated 6 years ago
- All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.☆217Updated 7 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆251Updated 4 years ago
- A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera☆280Updated 2 years ago
- Repository for coursera specialization Applied Data Science with Python by University of Michigan☆293Updated 5 years ago
- Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks.…☆207Updated last month
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆344Updated last year
- Cracking the Data Science Interview☆361Updated 5 years ago
- ☆131Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 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
- Blogs on Machine Learning and Deep learning☆114Updated 3 years ago
- Notes for Deep Learning Specialization Courses led by Andrew Ng.☆533Updated 3 years ago
- ☆143Updated 3 years ago
- Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.☆153Updated 4 years ago
- Quiz Answers, Assessments, Programming Assignments for the Linear Algebra course.☆98Updated 7 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆799Updated 5 years ago
- FREE ML Courses from Top Universities☆254Updated 2 months ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- ☆165Updated 8 years ago
- Machine learning notes that make your reading easy☆71Updated 4 years ago
- Implementations: Coursera Stanford Algorithms Specialization☆48Updated 5 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Welcome to data analysis with pandas tutorial. In this tutorial i have covered all the topic of pandas and tried to explain with lesser n…☆79Updated 5 years ago
- Notes and solutions for the Mathematics for Machine Learning Specialization☆80Updated 6 years ago