Alternatives and similar repositories for Basic-Mathematics-for-Machine-Learning

Users that are interested in Basic-Mathematics-for-Machine-Learning are comparing it to the libraries listed below

• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆935Updated 2 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆754Updated 4 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆777Updated 2 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆540Updated 3 years ago
• vbartle / MML-Companion
  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
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆891Updated 3 years ago
• LearnDataSci / free-data-science-learning
  ☆309Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆332Updated 11 months ago
• WillKoehrsen / machine-learning-project-walkthrough
  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…
  ☆1,199Updated 2 years ago
• maitbayev / the-elements-of-statistical-learning
  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
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆936Updated 2 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆423Updated 8 months ago
• mdozmorov / MachineLearning_notes
  Machine learning and deep learning resources
  ☆532Updated 3 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆477Updated 2 years ago
• PacktPublishing / Hands-on-Exploratory-Data-Analysis-with-Python
  Hands-on Exploratory Data Analysis with Python, published by Packt
  ☆805Updated 2 years ago
• maykulkarni / Machine-Learning-Notebooks
  Machine Learning notebooks for refreshing concepts.
  ☆511Updated 3 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• towardsai / tutorials
  AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
  ☆1,007Updated last year
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆140Updated 3 months ago
• devAmoghS / Machine-Learning-with-Python
  Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
  ☆1,192Updated 3 weeks ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,222Updated last year
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆155Updated 2 years 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.
  ☆181Updated 10 months ago
• edyoda / data-science-complete-tutorial
  For extensive instructor led learning
  ☆1,809Updated 2 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 …
  ☆166Updated last year
• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆247Updated 4 years ago
• dmitriy-kisil / DataCamp_Solutions_Python
  My solutions to DataCamp projects (now only Python)
  ☆151Updated 6 years ago
• INRIA / scikit-learn-mooc
  Machine learning in Python with scikit-learn MOOC
  ☆1,238Updated this week
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆464Updated 2 years ago
• ozlerhakan / datacamp
  🍧 DataCamp data-science and machine learning courses
  ☆388Updated last year