TraceMyers / mitx-stats-notesLinks
Notes for 18.6501x, Fundamentals of Statistics on edX
☆96Updated 3 years ago
Alternatives and similar repositories for mitx-stats-notes
Users that are interested in mitx-stats-notes are comparing it to the libraries listed below
Sorting:
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆333Updated 2 years ago
- Python code written for MIT's Machine Learning course offered on edX☆125Updated 6 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Porting the R code in ISL to python. Labs and exercises☆203Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆346Updated last year
- Data Analysis: Statistical Modeling and Computation in Applications☆61Updated 4 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆557Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆189Updated last year
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 4 years ago
- ☆110Updated 4 years ago
- Probability - The Science of Uncertainty and Data☆123Updated 7 years ago
- Introduction to ML packages for the 6.86x course☆404Updated 5 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆908Updated 4 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆424Updated 4 months ago
- CheatSheet for 18.6501x☆26Updated 6 years ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- Fundamentals of Statistics☆45Updated 4 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆300Updated 5 years ago
- EdX course from MIT on machine learning 6.86x☆11Updated 5 years ago
- Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)☆13Updated 3 years ago
- ☆121Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆823Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆941Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆987Updated 3 years ago
- Notes on Fundamentals of Statistics course☆15Updated 6 years ago
- Notes from Introduction to Statistical Learning☆120Updated 8 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- ☆47Updated 3 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 4 years ago