Alternatives and similar repositories for data-science-course

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

• ujjwalkarn / DeepLearningTutorials
  Deep Learning Tutorial notes and code. See the wiki for more info.
  ☆10Updated 9 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated last year
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 8 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆52Updated 8 years ago
• calvdee / coursera-data-sci
  Solutions to the Introduction to Data Science Coursera course problems.
  ☆17Updated 12 years ago
• ujjwalkarn / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆32Updated 9 years ago
• jmportilla / Web-Scraping
  Udemy Course
  ☆32Updated 9 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• TwistedHardware / mltutorial
  Machine Learning Tutorial in IPython Notebooks
  ☆131Updated 3 years ago
• ujjwalkarn / Twitter-Sentiment-Analysis
  tutorial for sentiment analysis on Twitter data using Python
  ☆131Updated 8 years ago
• algorithmica-repository / datascience
  It consists of examples, assignments discussed in data science course taken at algorithmica.
  ☆108Updated last year
• jakevdp / sklearn_scipy2013
  Scikit-learn tutorials for the Scipy 2013 conference
  ☆324Updated 8 years ago
• SudalaiRajkumar / DataScienceR
  a curated list of R tutorials for Data Science, NLP and Machine Learning
  ☆23Updated 9 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆326Updated 2 years ago
• carljv / Will_it_Python
  Translating R Data Analyses to Python
  ☆279Updated 7 years ago
• justmarkham / DAT7
  General Assembly's Data Science course in Washington, DC
  ☆234Updated last year
• jmportilla / Udemy---Machine-Learning
  Notebooks for Course
  ☆244Updated 9 years ago
• justmarkham / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆60Updated 9 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• gumption / Python_for_Data_Science
  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
  ☆312Updated 4 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• DistrictDataLabs / intro-to-nltk
  Code and Notebooks for the Natural Language Processing with Python course.
  ☆66Updated 7 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 10 years ago
• ogrisel / sklearn_pycon2014
  Repository containing files for my PyCon 2014 scikit-learn tutorial.
  ☆59Updated 11 years ago
• Kuntal-G / Machine-Learning
  Machine Learning Projects using R, Mahout, Python and NLP
  ☆16Updated 3 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆99Updated 2 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• AllenDowney / DataExploration
  Supporting code for a video series on best practices for exploratory data analysis.
  ☆74Updated 9 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 8 years ago