Alternatives and similar repositories for mitx-sds-resources

Users that are interested in mitx-sds-resources are comparing it to the libraries listed below

• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆324Updated last year
• dnackat / mitx-6.86x-machine-learning
  Python code written for MIT's Machine Learning course offered on edX
  ☆123Updated 5 years ago
• Yolanda-HT / MIT_6.419x
  Data Analysis: Statistical Modeling and Computation in Applications
  ☆58Updated 4 years ago
• blechturm / cheatsheet-18.6501x
  Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics
  ☆44Updated 5 years ago
• Shawn-xyg / MITx-6.86x-Machine-Learning-with-Python
  Project code for MIT MOOC 6.86x on edX
  ☆15Updated 5 years ago
• Varal7 / ml-tutorial
  Introduction to ML packages for the 6.86x course
  ☆389Updated 5 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆201Updated 3 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆544Updated 3 years ago
• mynameisjanus / 186501xStatistics
  CheatSheet for 18.6501x
  ☆26Updated 5 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
• 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…
  ☆416Updated 3 years ago
• Yolanda-HT / MIT_18.6501x
  Fundamentals of Statistics
  ☆45Updated 4 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆336Updated last year
• mitx-data-science / 6.431x
  Probability - The Science of Uncertainty and Data
  ☆117Updated 6 years ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆938Updated 2 years ago
• Andrej1A / Statistics-and-Data-Science-MicroMasters
  This is a collection of all the inofficial study groups in the Statistics and Data Science MicroMasters. If you find another group, pleas…
  ☆21Updated 3 years ago
• Harvard-IACS / 2021-CS109A
  ☆139Updated 3 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆357Updated 5 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
  ☆899Updated 4 years ago
• inahpatrizia / isye_6740
  Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)
  ☆12Updated 2 years ago
• mynameisjanus / 6431xProbability
  CheatSheet for 6.431x
  ☆16Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• aburkov / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆65Updated 5 years ago
• seq112215 / edX-6.86x-machine-learning
  Machine Learning with Python (url: https://courses.edx.org/courses/course-v1:MITx+6.86x+1T2020/course/)
  ☆44Updated 5 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• blechturm / MITx_capstone_1
  This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam
  ☆40Updated 5 years ago
• tm1611 / Machine-Learning-Engineer-Nanodegree
  Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
  ☆72Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• martlaf / MITxMachineLearningClass
  EdX course from MIT on machine learning 6.86x
  ☆11Updated 4 years ago