hoangnguyen7699 / StatisticsForApplication_solution
☆61Updated 2 years ago
Alternatives and similar repositories for StatisticsForApplication_solution:
Users that are interested in StatisticsForApplication_solution are comparing it to the libraries listed below
- Notes for 18.6501x, Fundamentals of Statistics on edX☆93Updated 2 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆317Updated last year
- CS229 Solution (summer 2019, 2020).☆13Updated last year
- ☆192Updated 2 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆57Updated 3 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆215Updated 3 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
- ☆123Updated last month
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆43Updated 5 years ago
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆46Updated 3 years ago
- Python code written for MIT's Machine Learning course offered on edX☆124Updated 5 years ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,103Updated 2 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,064Updated 2 years ago
- Fundamentals of Statistics☆42Updated 3 years ago
- A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local c…☆511Updated 9 months ago
- My lecture notes during times at UCL.☆31Updated 3 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆45Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆879Updated 3 years ago
- Project code for MIT MOOC 6.86x on edX☆16Updated 5 years ago
- ☆47Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.☆106Updated last week
- Probability - The Science of Uncertainty and Data☆111Updated 6 years ago
- Stanford CS234 : Reinforcement Learning☆144Updated 5 years ago
- All lecture notes, slides and assignments for CS230 course by Stanford University.☆61Updated 4 years ago
- ☆78Updated 4 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆409Updated 3 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆84Updated 6 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆271Updated 2 years ago
- My Own Solution Manual of PRML☆983Updated 4 years ago