Alternatives and similar repositories for DataMiningNotebooks

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

• SMUDataScience / Visualization-1
  ☆27Updated 8 years ago
• eclarson / PythonIntroBridge
  ☆20Updated 8 years ago
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆180Updated 7 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆326Updated 2 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆164Updated 10 months ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆198Updated 7 years ago
• jphall663 / GWU_data_mining
  Materials for GWU DNSC 6279 and DNSC 6290.
  ☆239Updated last month
• jcrouser / islr-python
  ☆108Updated 3 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆287Updated last year
• SMUDataScience / Visualization-2
  ☆11Updated 8 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆164Updated 6 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆93Updated 7 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆347Updated 9 years ago
• cs109 / 2015lab4
  Lab for Linear and Logistic Regression, SciKit Learn
  ☆41Updated 6 years ago
• llSourcell / k_means_clustering
  This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube
  ☆126Updated 5 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 6 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆326Updated last year
• mGalarnyk / DataScienceInterview
  Interview stuff for friends
  ☆84Updated 2 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• Sundar0989 / Variable-Selection-Using-Python
  ☆26Updated 5 years ago
• seifip / udacity-data-analyst-nanodegree
  Project work for the Udacity Data Analyst Nanodegree
  ☆39Updated 8 years ago
• khanhnamle1994 / world-cup-2018
  An exploratory data analysis and data visualization project for World Cup 2018
  ☆37Updated 6 years ago
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆35Updated 4 years ago
• gdsaxton / PANDAS
  ipython notebooks for analyzing Twitter data
  ☆58Updated 4 years ago
• jmportilla / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆32Updated 9 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆42Updated last month
• kthouz / NYC_Green_Taxi
  Analysis of NYC Green Taxi and a model to predict the tip as a percentage of the total fare
  ☆45Updated 7 years ago