Alternatives and similar repositories for Linear_Algebra_notes

Users that are interested in Linear_Algebra_notes are comparing it to the libraries listed below

• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆300Updated 5 years ago
• Yolanda-HT / MIT_18.6501x
  Fundamentals of Statistics
  ☆45Updated 4 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆154Updated 10 months ago
• Harvard-IACS / 2020-CS109A
  ☆121Updated 3 years ago
• AlessandroCorradini / Stanford-University-Statistical-Learning
  Repo for Statistical Learning course offered by Stanford University
  ☆50Updated 6 years ago
• gedeck / mistat-code-solutions
  Code repository for "Modern Statistics: A Computer Based Approach with Python" and "Industrial Statistics: A Computer Based Approach with…
  ☆108Updated 2 months ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆189Updated last year
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆450Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago
• azminewasi / Kaggle-Notebooks
  All my Kaggle Notebooks that I've published
  ☆15Updated last year
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆81Updated 3 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆823Updated 5 years ago
• ctanujit / MATH350
  Statistical Inference Course
  ☆43Updated last year
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆243Updated last year
• benthecoder / medium-code
  Code for my data science articles
  ☆49Updated 3 years ago
• ctanujit / lecture-notes
  ☆121Updated last year
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆346Updated last year
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆332Updated 2 years ago
• eflegara / Network-Science-Lectures
  Network Science, Complex Networks
  ☆60Updated 8 months ago
• AlessandroCorradini / Harvard-PH526x-Using-Python-for-Research
  Beginner Python course from Harvard University on edX
  ☆50Updated 6 years ago
• Yousuf28 / Machine_Learning_Materials_to_Follow
  Machine Learning Materials
  ☆53Updated last year
• inahpatrizia / isye_6740
  Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)
  ☆12Updated 3 years ago
• Yolanda-HT / MIT_6.419x
  Data Analysis: Statistical Modeling and Computation in Applications
  ☆61Updated 4 years ago
• hejibo / Python-for-social-scientists
  Python for Social Scientists
  ☆43Updated 7 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆54Updated 4 years ago
• telmo-correa / time-series-analysis
  Self study on Cryer and Chan's "Time series analysis with applications in R"
  ☆42Updated 5 years ago
• chiphuyen / machine-learning-book
  Code Repository for Machine Learning with PyTorch and Scikit-Learn
  ☆47Updated 3 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆92Updated 7 years ago
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆198Updated 2 years ago