Alternatives and similar repositories for data-science-for-good

Users that are interested in data-science-for-good are comparing it to the libraries listed below

• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• dipanjanS / art_of_data_visualization
  The art of effective visualization of multi-dimensional data
  ☆162Updated 7 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 5 years ago
• WillKoehrsen / emissions-explorer
  Data Visualization Application created for Hack CWRU V
  ☆18Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 2 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆153Updated 7 years ago
• jmportilla / Statistics-Notes
  iPython NOtebooks on Stats
  ☆165Updated last year
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 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…
  ☆61Updated 2 years ago
• khanhnamle1994 / applied-machine-learning
  A step-by-step guide to get started with Applied Machine Learning
  ☆140Updated 7 years ago
• albahnsen / PracticalMachineLearningClass
  ☆91Updated 5 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
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• khanhnamle1994 / data-mining
  Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
  ☆92Updated 7 years ago
• robinsones / Data-Science-Freelancers
  An analysis of 93,000+ data science freelancers
  ☆57Updated 9 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 7 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• ritchieng / machine-learning-nanodegree
  Codes, notes and guides on Udacity's machine learning nanodegree.
  ☆81Updated 9 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• justmarkham / python-data-science-workshop
  Workshop: Python for Data Science
  ☆63Updated 10 years ago