hoangnguyen7699 / StatisticsForApplication_solution
☆57Updated last year
Related projects: ⓘ
- Notes for 18.6501x, Fundamentals of Statistics on edX☆91Updated 2 years ago
- ☆183Updated 2 years ago
- My lecture notes during times at UCL.☆26Updated 3 years ago
- ☆404Updated this week
- All notes and materials for the CS229: Machine Learning course by Stanford University☆179Updated 3 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆297Updated 9 months ago
- CS229 Solution (summer 2019, 2020).☆7Updated 8 months ago
- ☆361Updated this week
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆42Updated 4 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆47Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆247Updated 3 years ago
- Stanford CS234 : Reinforcement Learning☆93Updated 4 years ago
- ☆45Updated last year
- ☆49Updated this week
- Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science☆44Updated 2 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆970Updated last year
- Introduction to ML packages for the 6.86x course☆358Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆101Updated 3 weeks ago
- My Own Solution Manual of PRML☆958Updated 3 years ago
- Cheat sheets for UCL's 2018/19 machine learning modules☆59Updated 5 years ago
- My solutions to Stanford CS221 (Artificial Intelligence) homework code problems☆26Updated 4 years ago
- Solutions to the exercises in Grinstead and Snell's Introduction to Probability☆83Updated last year
- Solutions for All of Statistics by Wasserman☆10Updated 3 years ago
- ☆111Updated last month
- [Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"☆184Updated 4 years ago
- Project code for MIT MOOC 6.86x on edX☆16Updated 4 years ago
- My solutions to Kevin Murphy Machine Learning Book☆533Updated 4 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆23Updated 2 years ago
- MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning☆31Updated 2 years ago
- Python code written for MIT's Machine Learning course offered on edX☆123Updated 4 years ago