bryanpjohnson / elements-statistical-learning-notesLinks
Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .
☆35Updated 3 years ago
Alternatives and similar repositories for elements-statistical-learning-notes
Users that are interested in elements-statistical-learning-notes are comparing it to the libraries listed below
Sorting:
- My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller☆243Updated 6 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆896Updated 3 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 2 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆336Updated 11 months ago
- for Data Science class on Coursera☆512Updated 5 years ago
- ☆62Updated 2 years ago
- Preparation material and resources for the ML (including DL) and Quant Research interviews☆130Updated 4 years ago
- ☆92Updated 3 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆123Updated 2 years ago
- Quant prep resources/logs☆403Updated 2 months ago
- An Introduction to Statistical Learning with Applications in PYTHON☆542Updated 3 years ago
- Self-study on Larry Wasserman's "All of Statistics"☆1,117Updated 2 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆230Updated 3 years ago
- This repository contains the solutions to the exercises and labs from the book "An Introduction to Statistical Learning Second Edition".☆36Updated 2 years ago
- Compendium of free ML reading resources☆366Updated 2 weeks ago
- ☆140Updated 3 years ago
- Jane Street quant interview/test☆104Updated 7 years ago
- Quantitative Interview Preparation Guide, updated version here ==>☆831Updated 6 years ago
- The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to pr…☆28Updated last month
- J.P. Morgan Quant Challenge 2022 Questions☆47Updated 2 years ago
- Gathered multiple pdfs regarding interview questions on machine learning and deep learning☆67Updated 5 years ago
- ☆196Updated 2 years ago
- ☆581Updated 11 months ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆322Updated last year
- ☆278Updated 2 years ago
- Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display meth…☆69Updated 4 years ago
- ☆354Updated 8 years ago
- Books for Quant Finance Interviews☆78Updated 9 years ago
- Question bank for ML/Quant Interviews☆51Updated 3 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆210Updated 2 months ago