Code related to blog posts on my Medium page
Examples of the application of individual scalecast models
my-deeplearning-practice-notebooks
Python examples for the Machine Learning Course at MSc of AI at NCSR Demokritos
This repository contains all my small projects related with Data Science and Machine Learning.
Jupyter notebooks for demo/projects, now that github supports them
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
This repo contains the projects made for the course of Jose Portilla on Udemy.
General Assembly's Data Science course in Washington, DC
Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality...
Applying progressive resizing to building models in Keras.
Coding the Machine Learning Tutorial for Learning to Learn
Google Colaboratory Notebooks and Repositories (by @firmai)
Notebooks about Bayesian methods for machine learning
Plain python implementations of basic machine learning algorithms