Harvard-IACS / 2021-CS109BLinks
☆47Updated 2 years ago
Alternatives and similar repositories for 2021-CS109B
Users that are interested in 2021-CS109B are comparing it to the libraries listed below
Sorting:
- Interpretable Machine Learning with Python, published by Packt☆471Updated last week
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆417Updated 3 years ago
- ☆115Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆201Updated 3 years ago
- ☆151Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆338Updated last year
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆212Updated last week
- ☆139Updated 3 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆286Updated 4 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆547Updated 3 years ago
- Repository for CS109A Fall 2018☆149Updated 5 years ago
- Python-centered read-along of Forecasting: Principles and Practice☆507Updated 11 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆434Updated 11 months ago
- ☆110Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆513Updated 3 years ago
- Problems from https://datascienceprep.com/☆124Updated 4 years ago
- English translation of the sample code to "Data Analysis Techniques to Win Kaggle" book☆33Updated 4 years ago
- Blogs on Machine Learning and Deep learning☆114Updated 3 years ago
- Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"☆148Updated 6 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆325Updated last year
- An ongoing list of pandas quirks☆978Updated 2 years ago
- Cracking the Data Science Interview☆359Updated 5 years ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- Code repository for the online course Feature Engineering for Machine Learning☆400Updated last year
- How to do Bayesian statistical modelling using numpy and PyMC3☆668Updated 3 years ago
- Machine learning flashcards☆221Updated 3 years ago