weijie-chen / Linear-Algebra-With-PythonLinks
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assis…
☆2,489Updated last year
Alternatives and similar repositories for Linear-Algebra-With-Python
Users that are interested in Linear-Algebra-With-Python are comparing it to the libraries listed below
Sorting:
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,452Updated last year
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,281Updated 2 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆436Updated last year
- Study guides for MIT's 15.003 Data Science Tools☆1,880Updated 5 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆370Updated 4 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆901Updated 4 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆709Updated 3 years ago
- MLNLP: Notes for MIT-Linear-Algebra☆3,492Updated 2 years ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,940Updated 2 years ago
- A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译☆414Updated 5 years ago
- ☆822Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆967Updated 3 years ago
- Lectures for INFO8010 Deep Learning, ULiège☆1,269Updated 4 months ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆341Updated last year
- 北邮《Python编程与实践》课程资料☆754Updated 4 years ago
- code for deep learning courses☆1,145Updated last month
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆293Updated 4 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,965Updated 3 weeks ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,641Updated 5 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆296Updated 3 years ago
- Interactive Linear Algebra, free online textbook at Georgia Tech☆933Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆548Updated 3 years ago
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆5,080Updated last year
- IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)☆563Updated last year
- Matplotlib tutorial for beginner☆3,089Updated last year
- Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning☆514Updated 2 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,623Updated last year
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,375Updated 6 months ago
- Code Repository for The Kaggle Book, Published by Packt Publishing☆2,276Updated last month
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,540Updated last year