hoangnguyen7699 / StatisticsForApplication_solutionLinks
☆62Updated 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
Sorting:
- CS229 Solution (summer 2019, 2020).☆16Updated last year
- ☆195Updated 2 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆57Updated 4 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,103Updated 2 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆228Updated 3 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆321Updated last year
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- This is the second cheatsheet for the MITx capstone exams for Statistics and Datascience☆24Updated 3 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆414Updated 3 years ago
- ☆143Updated 3 months ago
- Practical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statis…☆10Updated 4 years ago
- Project code for MIT MOOC 6.86x on edX☆15Updated 5 years ago
- Code / solutions for Mathematics for Machine Learning (MML Book)☆1,126Updated 2 years ago
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆240Updated 6 years ago
- Fundamentals of Statistics☆43Updated 3 years ago
- Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics☆44Updated 5 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆276Updated 4 years ago
- Cheat sheets for UCL's 2018/19 machine learning modules☆63Updated 6 years ago
- Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .☆34Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆571Updated 5 years ago
- Deep Learning Exercise and Notebook☆38Updated 4 years ago
- Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps☆230Updated 7 months ago
- NYU Course Notes & Resources☆209Updated last year
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆123Updated 2 years ago
- Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.☆308Updated 3 years ago
- ☆79Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆199Updated 2 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆891Updated 3 years ago
- Collection of my assignments and work in the class MATH51 at Stanford☆93Updated 10 years ago
- Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2…☆249Updated last year