Alternatives and similar repositories for Mooc:

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

• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆93Updated 2 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆313Updated last year
• Shawn-xyg / MITx-6.86x-Machine-Learning-with-Python
  Project code for MIT MOOC 6.86x on edX
  ☆16Updated 5 years ago
• blechturm / cheatsheet-18.6501x
  Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics
  ☆43Updated 5 years ago
• 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
  ☆57Updated 3 years ago
• HamdyTawfeek / MITx_machine_learning
  An in-depth exploration to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-o…
  ☆9Updated 5 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• martlaf / MITxMachineLearningClass
  EdX course from MIT on machine learning 6.86x
  ☆11Updated 4 years ago
• jcrouser / islr-python
  ☆107Updated 3 years ago
• mynameisjanus / 186501xStatistics
  CheatSheet for 18.6501x
  ☆26Updated 5 years ago
• Varal7 / ml-tutorial
  Introduction to ML packages for the 6.86x course
  ☆386Updated 4 years ago
• xia0nan / MITx-6.431x
  Probability - The Science of Uncertainty and Data
  ☆33Updated 6 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 2 years ago
• sbeignez / MITx-6.86x-Machine-Learning
  MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
  ☆45Updated 3 years ago
• blechturm / MITx_capstone_1
  This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam
  ☆39Updated 5 years ago
• roadfoodr / mitx-sds-resources
  Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
  ☆46Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 5 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆147Updated 4 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• skasch / fundamentals-of-statistics
  Notes on Fundamentals of Statistics course
  ☆15Updated 5 years ago
• UCB-MIDS / w241
  This is the course repository for w241 and 290 -- Experiments and Causality.
  ☆17Updated 3 years ago
• anarayanan86 / MITx-6.00.2x
  Coding exercises, Problem Sets, and lecture code for MITx: 6.00.2x Introduction to Computational Thinking and Data Science, EdX, March-Ma…
  ☆75Updated 2 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• mitx-data-science / 6.431x
  Probability - The Science of Uncertainty and Data
  ☆111Updated 6 years ago
• vinneenguyen / mitx-machine-learning-with-python-from-linear-models-to-deep-learning
  Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science
  ☆34Updated 5 years ago
• broepke / UCSanDiegoX
  Data Science MicroMasters Program from UC San Diego on edX
  ☆20Updated 5 years ago
• KellyHwong / MIT-ML
  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning
  ☆16Updated 5 years ago
• knathanieltucker / data-science-foundations
  ☆86Updated 2 years ago
• jiadaizhao / Advanced-Machine-Learning-Specialization
  Advanced Machine Learning Specialization on Coursera
  ☆221Updated 5 years ago