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

• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• deniederhut / Pandas-Tutorial-SciPyConf-2018
  ☆48Updated 6 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 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…
  ☆59Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆53Updated 2 years ago
• llSourcell / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆45Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• aakashtandel / misc_projects
  A repository filled with various data science projects.
  ☆32Updated 4 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆149Updated 6 years ago
• justmarkham / machine-learning-for-software-engineers
  A complete daily plan for studying to become a machine learning engineer.
  ☆50Updated 8 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆92Updated 7 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 6 years ago
• luciasantamaria / pandas-tutorial
  Teaching materials for pandas and scikit-learn
  ☆18Updated 8 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆140Updated 4 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆26Updated 8 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• WillKoehrsen / Udacity-Data-Analyst-Nanodegree
  All Code and resources for the Udacity Data Analyst Nanodegree
  ☆37Updated 7 years ago
• WillKoehrsen / kaggle-automated-feature-engineering
  Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition
  ☆18Updated 6 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated 5 months ago
• WillKoehrsen / airbus
  Work related to the Airbus Ship Detection Challenge https://www.kaggle.com/c/airbus-ship-detection
  ☆12Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• cs109 / 2015lab5
  Lab 5, the first on Machine Learning!
  ☆25Updated 8 years ago
• WillKoehrsen / emissions-explorer
  Data Visualization Application created for Hack CWRU V
  ☆18Updated 6 years ago
• rsibi / Springboard
  Springboard - Data Science Intensive course
  ☆13Updated 7 years ago
• datacamp / datacamp_facebook_live_titanic
  DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…
  ☆61Updated 4 years ago