rickwierenga / CS229-Python
Exercises and solutions to Stanford CS229 Machine Learning in Python
☆192Updated last year
Alternatives and similar repositories for CS229-Python:
Users that are interested in CS229-Python are comparing it to the libraries listed below
- All notes and materials for the CS229: Machine Learning course by Stanford University☆215Updated 3 years ago
- The offical notes of Andrew Ng Machine Learning in Stanford University☆288Updated 3 years ago
- Last Minute Note of Machine learning and Deep learning by Jason Brownlee☆88Updated 5 years ago
- Documenting my python implementation of Andrew Ng's Machine Learning course☆310Updated 6 years ago
- Stanford University - Machine Learning by Andrew Ng☆86Updated 6 years ago
- A list of resources for our society members who have upcoming interviews!☆94Updated 3 months ago
- Porting the R code in ISL to python. Labs and exercises☆196Updated 2 years ago
- Repo for MIT 6.036 Machine Learning☆27Updated 4 years ago
- ☆172Updated 6 years ago
- Advanced Machine Learning Specialization on Coursera☆221Updated 5 years ago
- All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.☆214Updated 6 years ago
- Machine Learning interview prep guide☆410Updated 4 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- 2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments☆255Updated 2 years ago
- Data Science Questions and Answers (General) for beginner☆212Updated 7 years ago
- Machine Learning notebooks for refreshing concepts.☆507Updated 3 years ago
- Tutorial notebooks on numpy, pandas and matplotlib.☆41Updated 4 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆737Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆270Updated 4 years ago
- A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera☆280Updated 2 years ago
- Cracking the Data Science Interview☆346Updated 5 years ago
- ☆73Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Assignments for University of Washington Machine Learning Specialization through Coursera☆45Updated 6 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆422Updated 7 months ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆140Updated last month
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆144Updated 5 years ago
- 🔴 1704 Machine Learning, Data Science & Python Interview Questions (ANSWERED) To Kill Your Next ML & DS Interview. Get All Answers + PDF…☆108Updated 2 years ago
- Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…☆183Updated 5 years ago
- Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Process…☆93Updated 4 years ago