Alternatives and similar repositories for intro-to-datascience

Users that are interested in intro-to-datascience are comparing it to the libraries listed below

• AndreaGuarracino / DataStructuresForBioinformatics
  Data Structures for Bioinformatics - LM Bioinformatics - University of Rome Tor Vergata
  ☆11Updated this week
• datascience-course / 2018-datascience-lectures
  Lecture content for Intro to Data Science 2018
  ☆35Updated 7 years ago
• Rashedul / R-Tutorials
  Tutorials contain live coding and script for R programming in Bangla
  ☆14Updated 6 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆327Updated 2 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 9 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆236Updated 5 years ago
• ujjwalkarn / awesome-deep-learning
  A curated list of awesome Deep Learning tutorials, projects and communities.
  ☆11Updated 10 years ago
• YangChuan80 / Coursera
  Source of Coursera online projects
  ☆21Updated 9 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆106Updated 8 years ago
• rasbt / stat479-machine-learning-fs18
  Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
  ☆492Updated 6 years ago
• rugantio / MachineLearningCourse
  A collection of notebooks of my Machine Learning class written in python 3
  ☆44Updated 7 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆150Updated 5 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 8 years ago
• mynameisjanus / 186501xStatistics
  CheatSheet for 18.6501x
  ☆26Updated 5 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆179Updated 4 years ago
• broepke / UCSanDiegoX
  Data Science MicroMasters Program from UC San Diego on edX
  ☆20Updated 5 years ago
• khanhnamle1994 / machine-learning
  Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
  ☆86Updated 7 years ago
• SKawsar / Python_Fundamentals
  ☆13Updated 3 years ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆764Updated 4 years ago
• GenomicsUA / sc-school-2021
  ☆18Updated 4 years ago
• cs109 / 2015lab2
  ☆23Updated 5 years ago
• cs109 / 2015lab1
  ☆213Updated 4 years ago
• pedropb / machine-learning-nanodegree
  Class notes for the Machine Learning Nanodegree at Udacity
  ☆17Updated 8 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆331Updated last year
• brienna / BIOF509
  Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
  ☆20Updated 9 years ago
• NGSchoolEU / ngs19_python_intro
  Introduction to Python3
  ☆11Updated 5 years ago