Alternatives and similar repositories for VideoCourse-DataScienceRecipes

Users that are interested in VideoCourse-DataScienceRecipes are comparing it to the libraries listed below

• PacktPublishing / Large-Scale-Machine-Learning-With-Python
  Code repository for Large Scale Machine Learning with Python, published by Packt
  ☆90Updated 2 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 7 years ago
• agconti / KaggleAux
  A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.
  ☆63Updated 7 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 8 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆100Updated 2 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 10 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆113Updated 8 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• ujjwalkarn / deeplearning-papernotes
  Summaries and notes on Deep Learning research papers
  ☆32Updated 9 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• Apress / practical-python-ai-projects
  Source code for 'Practical Python AI Projects' by Serge Kruk
  ☆101Updated 5 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 8 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• chiphuyen / tf-oreilly
  Code for O'Reilly's "A Short Course on TensorFlow"
  ☆104Updated 8 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆110Updated 7 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆270Updated 5 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago
• amueller / quick-ml-intro
  One hour interactive training for ML with scikit-learn
  ☆73Updated 8 years ago