Mavs's repositories
Excel-to-plot
Plot histogram and joint-plots taking data from an excel or csv file.
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
explainerdashboard-feedstock
A conda-smithy repository for explainerdashboard.
featuretools
An open source python library for automated feature engineering
zoofs
zoofs is a Python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
atom-ml-feedstock
A conda-smithy repository for atom-ml.
autorefs
Automatically link across pages in MkDocs.
Deep-Learning-Specialization
Assignments for the coursera Deep Learning specialization given by Andrew Ng and provided by deeplearning.ai. Assignments were made in Python using Jupyter Notebook.
Machine-Learning
Assignments for the coursera course Machine Learning given by Andrew NG and provided by Stanford University. Assignments were made in Octave.
category_encoders
A library of sklearn compatible categorical variable encoders
cuml
cuML - RAPIDS Machine Learning Library
mkdocs-material
Technical documentation that just works
Neural-Networks-for-Machine-Learning
Assignments for the coursera course Neural Networks for Machine Learning given by Geoffrey Hinton and provided by the University of Toronto. Assignments were made in Octave.
Reinforcement-Learning
Scripts used to solve the OpenAI Gym LunarLander-v2 environment.
scikit-learn
scikit-learn: machine learning in Python
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface