majobasgall

Bayesian Optimization: Approximate to the optimum of an expensive Black Box system by using a cheaper surrogate model

Streamlit app with a business case study focused on customer segmentation using K-means clustering

A little bit of everything: cleanup Arch-based systems, extraction, system info, git config, project structuring, spark parameters, data backup, webcam control, and more!

SMOTE-BD: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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