Stars
A python library for user-friendly forecasting and anomaly detection on time series.
Point and click data exploration
Example entity resolution workflow using PySpark
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Backtest portfolio allocation strategies.
Home Assistant Component for Kostal Plenticore
List of tools & datasets for anomaly detection on time-series data.
EPFL Machine Learning Course, Fall 2025
A Python package for manipulating 2-dimensional tabular data structures
Code to compute permutation and drop-column importances in Python scikit-learn models
A python library for decision tree visualization and model interpretation.
Answers to 120 commonly asked data science interview questions.
A game theoretic approach to explain the output of any machine learning model.
DeepArchitect: Automatically Designing and Training Deep Architectures
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Python implementation of deep forest method : gcForest
Scenarios, tutorials and demos for Autonomous Driving
Reproducible Data Analysis Workflow in Jupyter
Materials for my scikit-learn tutorial
Python Data Science Handbook: full text in Jupyter Notebooks