Alternatives and similar repositories for github:

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

• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆54Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• knathanieltucker / pandas_exercises
  Practice your pandas skills!
  ☆11Updated 5 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• dipanjanS / stanford-statistical-learning
  Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …
  ☆15Updated 7 years ago
• risenW / Practical_feature_engineering_guide
  A detailed guide to feature engineering for machine learning in Python
  ☆23Updated 5 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 6 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆60Updated 2 years ago
• PacktPublishing / Data-Science-Algorithms-in-a-Week
  Data Science Algorithms in a Week, published by Packt
  ☆34Updated 2 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• erood / interviewqs.com_code_snippets
  ☆46Updated 3 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 6 years ago
• briandalessandro / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆20Updated 8 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• Mogbo / Customer-Clustering-Segmentation-Challenge
  My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of …
  ☆13Updated 7 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• kimfetti / Conferences
  Conference Material
  ☆36Updated 3 months ago
• arvindbetrabet / Practical_Statistics_for_Data_Scientists
  This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Br…
  ☆35Updated 7 years ago
• MaartenGr / streamlit_guide
  A guide on creating and deploying your Streamlit application to Heroku
  ☆50Updated 7 months ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• theomitsa / python
  ☆7Updated 5 years ago
• pappakrishnan / Data-Science-Take-Home-Challenges
  A list of take home challenges for data science interviews I've compiled
  ☆17Updated 6 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• L-Lewis / Airbnb-neural-network-price-prediction
  ☆34Updated 5 years ago
• nickvega1989 / Predicting-Housing-Prices
  Public Repo of my machine learning project to predict home prices
  ☆12Updated 5 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 9 months ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 8 years ago