Alternatives and similar repositories for programming

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

• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• hanhanwu / Hanhan_Data_Science_Resources
  helpful resources for (big) data science
  ☆33Updated 3 years ago
• PiotrTa / Mining-Massive-Datasets
  Data mining algorithms with Python
  ☆10Updated 5 years ago
• NikTRSK / Data-Science-and-Machine-Learning-with-Python---Hands-On
  Data Science and Machine Learning with Python - Hands On from Udemy
  ☆14Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 5 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• jphall663 / GWU_rml
  ☆37Updated 3 weeks ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 6 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
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• brienna / BIOF509
  Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health
  ☆20Updated 9 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• aswalin / Outlier-Impact-Treatment
  The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models
  ☆23Updated 7 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• tirthajyoti / Packt-Data_Wrangling
  Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
  ☆30Updated 5 years ago
• olivkoch / intro-to-reco
  introduction class to recommendation systems
  ☆22Updated 5 years ago
• jphall663 / responsible_xai
  Guidelines for the responsible use of explainable AI and machine learning.
  ☆17Updated 2 years ago
• lumiata / tech_blog
  Follow the Lumiata Tech Blog on Medium!
  ☆21Updated 2 years ago