Stars
Python Data Science Handbook: full text in Jupyter Notebooks
A game theoretic approach to explain the output of any machine learning model.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Practice your pandas skills!
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
The "Python Machine Learning (2nd edition)" book code repository and info resource
Lectures on scientific computing with python, as IPython notebooks.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A python library for decision tree visualization and model interpretation.
Natural Gradient Boosting for Probabilistic Prediction
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
🤖⚡ 50 scikit-learn tips
Source code for my collection of articles on using pandas.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
Machine learning in Python with scikit-learn MOOC
Python Helper library for Jupyter Notebooks
How to do Bayesian statistical modelling using numpy and PyMC3
Data Science Best Practices with pandas
Notebooks for the Altair tutorial
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
Materials for blogs and conferences
Customize, control, and enhance LLM generation with logits processors, featuring visualization capabilities to inspect and understand state transitions