Philip's repositories
10-steps-to-become-a-data-scientist
In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
awesome-creative-coding
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
awesome-generative-art
Awesome generative art
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Flocking-Simulation
Flocking simulation of starling murmuration using web graphics library (webGL) and openGL shader language in javascript.
hashlips_art_engine
HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.
p5-manager
A p5js template builder & sketches manager. Built for p5js enthusiasts.
PlotNeuralNet
Latex code for making neural networks diagrams
scikit-sos
A Python implementation of the Stochastic Outlier Selection algorithm
statistical-nlp-17
Repository for group 17 on the Statistical Natural Language Processing module at UCL
vanillawebprojects
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries