Automatic extraction of relevant features from time series:
- data-science
- feature-extraction
- time-series
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Automatic extraction of relevant features from time series:
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A Python library for introductory data science
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
food image to recipe with deep convolutional neural networks.
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
An OCaml kernel for Jupyter (IPython) notebook
Materials for GWU DNSC 6279 and DNSC 6290.
scPerturb: A resource and a python/R tool for single-cell perturbation data
tutorials made for biologists to learn deep learning
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Sources for the Network Science Cheatsheets