Alternatives and similar repositories for MITx-6.00.1x-Problems-Solutions

Users that are interested in MITx-6.00.1x-Problems-Solutions are comparing it to the libraries listed below

• nishadhka / Learning-Calculus-with-Python
  ☆44Updated 5 years ago
• data-8 / data8assets
  Assets for data8.org
  ☆111Updated 10 months ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• ENCMP100 / LEC-2020-B3
  This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.
  ☆10Updated 5 years ago
• profjsb / python-bootcamp
  Python Bootcamp docs and lectures (UC Berkeley)
  ☆239Updated 9 years ago
• briandalessandro / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆20Updated 8 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated last year
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆63Updated 4 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆54Updated last year
• Theofilos-Chamalis / edX-6.00.2x-Introduction-to-Computational-Thinking-and-Data-Science
  MIT edX 6.00.2x Introduction to Computational Thinking and Data Science problem sets code
  ☆69Updated 3 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• chendaniely / scipy-2017-tutorial-pandas
  SciPy 2017 Pandas Tutorial
  ☆160Updated 4 years ago
• wimlds / starter-kit
  A starter kit for new chapters of WiMLDS
  ☆43Updated 9 months ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆116Updated 11 months ago
• PacktPublishing / Data-Science-Algorithms-in-a-Week
  Data Science Algorithms in a Week, published by Packt
  ☆36Updated last week
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 8 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• datacamp / datacamp_facebook_live_titanic
  DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…
  ☆62Updated 5 years ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆42Updated 8 months ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• algorithmica-repository / datascience
  It consists of examples, assignments discussed in data science course taken at algorithmica.
  ☆108Updated last year
• jorisvandenbossche / pandas-tutorial
  Material for the pandas tutorial at EuroScipy 2016
  ☆208Updated 8 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆112Updated 8 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆102Updated last year
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago