Alternatives and similar repositories for data-science-foundations

Users that are interested in data-science-foundations are comparing it to the libraries listed below

• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆161Updated 3 years ago
• StephenElston / ExploringDataWithPython
  Methods of data exploration and visualization using Python.
  ☆146Updated 6 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆86Updated 9 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆149Updated 5 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆281Updated 9 years ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆185Updated 6 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆456Updated 5 years ago
• rounakbanik / dsc_springboard
  Repository for all the code written as part of the Springboard's Data Science Career Track
  ☆32Updated 8 years ago
• juincc0 / python_data_science_and_machine_learning_bootcamp
  Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
  ☆225Updated 8 years ago
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆151Updated 4 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 3 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• mrdbourke / your-first-kaggle-submission
  How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
  ☆223Updated last year
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 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
  ☆776Updated 5 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 7 years ago
• matthewbrems / ODSC-missing-data-may-18
  Open Data Science Conference East, 2018: Data Science with Missing Data
  ☆65Updated 7 years ago
• pdeguzman96 / data_cleaning_workshop
  Created the contents of this repo originally for a workshop I gave at UCLA
  ☆112Updated 5 years ago
• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆288Updated 3 years ago
• HiteshGorana / DataScience365
  DataScience365
  ☆54Updated 6 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆118Updated 7 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 9 years ago
• justmarkham / pycon-2019-tutorial
  Data Science Best Practices with pandas
  ☆530Updated 5 years ago
• cs109 / 2015lab1
  ☆214Updated 4 years ago
• springboard-curriculum / awesome-springboard-capstones
  Place for collecting great projects/capstones from previous springboard students.
  ☆54Updated 4 years ago
• kaburelabs / Datacamp-Courses
  Some of my notebooks of Datacamp courses.
  ☆132Updated 5 years ago