12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Data science interview questions and answers

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

An Exhaustive Paper List for Text Summarization

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

PYthon Automated Term Extraction

MkDocs version of ORCID API workshop materials

Homepage and materials for the course on data visualization, as part of uc3m’s Master in Computational Social Science

**OLD** Website for Coding Club UC3M

Dataset of CafeBazaar applications and simple EDA

Source code for 'Practical Python' by Magnus Lie Hetland

Scripts and practices from the book "An Introduction to Statistical Learning with R". https://faculty.marshall.usc.edu/gareth-james/ISL/

Public facing notes page

Repo to manage and deploy my portfolio site

Work done going through the book Applied Predictive Modelling by Kjell Johnson and Max Kuhn

Dataset of CafeBazaar applications and simple EDA

Time Series Forecasting Best Practices & Examples