mynameisjanus / 186501xStatisticsLinks
CheatSheet for 18.6501x
☆26Updated 5 years ago
Alternatives and similar repositories for 186501xStatistics
Users that are interested in 186501xStatistics are comparing it to the libraries listed below
Sorting:
- CheatSheet for 6.431x☆16Updated 4 years ago
- CheatSheet for 14.310x☆11Updated 5 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆327Updated last year
- This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam☆40Updated 5 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 3 years ago
- CheatSheet for 6.86x☆22Updated 4 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆60Updated 4 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆342Updated 5 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆47Updated 3 years ago
- ☆110Updated 4 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 6 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- Porting the R code in ISL to python. Labs and exercises☆201Updated 3 years ago
- Introduction to ML packages for the 6.86x course☆396Updated 5 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆417Updated this week
- ☆115Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- An introduction to data science in Python, for people with no programming experience.☆441Updated 3 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆434Updated 11 months ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆289Updated 4 years ago
- Resources for Machine Learning Pocket Reference☆265Updated 3 years ago
- Repository for CS109A Fall 2018☆149Updated 5 years ago
- Probability - The Science of Uncertainty and Data☆120Updated 6 years ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- ☆62Updated 6 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆541Updated 6 years ago