Alternatives and similar repositories for stanford-cme-106-probability-and-statistics

Users that are interested in stanford-cme-106-probability-and-statistics are comparing it to the libraries listed below

• shervinea / stanford-cme-102-ordinary-differential-equations
  VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
  ☆253Updated 5 years ago
• hrnbot / Basic-Mathematics-for-Machine-Learning
  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…
  ☆710Updated 3 years ago
• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆973Updated 3 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆361Updated 5 years ago
• INRIA / scikit-learn-mooc
  Machine learning in Python with scikit-learn MOOC
  ☆1,306Updated last month
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆294Updated 5 years ago
• shervinea / mit-15-003-data-science-tools
  Study guides for MIT's 15.003 Data Science Tools
  ☆1,885Updated 5 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆756Updated 4 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆443Updated last year
• ertsiger / coursera-mathematics-for-ml
  Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
  ☆153Updated 4 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆332Updated last year
• maykulkarni / Machine-Learning-Notebooks
  Machine Learning notebooks for refreshing concepts.
  ☆533Updated 4 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆550Updated 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
  ☆939Updated 2 years ago
• rickwierenga / CS229-Python
  Exercises and solutions to Stanford CS229 Machine Learning in Python
  ☆203Updated 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 …
  ☆184Updated 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.
  ☆185Updated last year
• LearnDataSci / free-data-science-learning
  ☆309Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆346Updated 3 years ago
• ML-course / master
  A machine learning course using Python, Jupyter Notebooks, and OpenML
  ☆872Updated 7 months 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
  ☆903Updated 4 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• Harvard-IACS / 2021-CS109A
  ☆141Updated 3 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆787Updated 3 years ago
• zhiqiangzhongddu / Data-Science-Interview-Questions-and-Answers-General-
  Data Science Questions and Answers (General) for beginner
  ☆219Updated 8 years ago
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆148Updated 7 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆483Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆542Updated 6 years ago
• blechturm / cheatsheet-18.6501x
  Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics
  ☆44Updated 5 years ago