stellamatata's starred repositories
handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
scikit-learn
scikit-learn: machine learning in Python
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
Python-first-Practice
Only use 3 days to get the basic concept of Python (Chinese Version | Data Scientist Direction)
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
data.table
R's data.table package extends data.frame:
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
ExploreModels
Code and data for "The Geometry of Classifiers"
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
xgboostExplainer
An R package that makes xgboost models fully interpretable
acceleratoRs
Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains