Alternatives and similar repositories for DataMiningNotebooks

Users that are interested in DataMiningNotebooks are comparing it to the libraries listed below

• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆240Updated 8 months ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆331Updated 2 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆182Updated 8 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆170Updated last year
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆143Updated 7 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆115Updated 8 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆171Updated 3 years ago
• PacktPublishing / Python-Real-World-Machine-Learning
  Code files added
  ☆100Updated 2 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆42Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆290Updated 2 years ago
• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆87Updated 9 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆53Updated 9 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆156Updated 8 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆227Updated 7 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆315Updated 5 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆157Updated 6 years ago
• anindya-saha / Machine-Learning-with-Python
  Machine Learning Implementations in Python
  ☆65Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• jorisvandenbossche / pandas-tutorial
  Material for the pandas tutorial at EuroScipy 2016
  ☆211Updated 8 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆94Updated 7 years ago
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆90Updated 2 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago