Carlos Ospino's Projects
Causal Inference in Python
Repository for Coursera's Data Science courses
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
"How Many Jobs Can be Done at Home?" by Jonathan Dingel and Brent Neiman
Follow the impact of COVID-19 outbreak in Latin America in real time
Workshop Materials for March 2018 BITSS Workshop at IDB
Live Training Session: Machine Learning with Scikit Learn
Matrix Completion Methods for Causal Panel Data Models
First takes at ML and AI projects.
Resources for "Natural Language Processing" Coursera course.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Machine Learning + LSTM Implementation to capture sentiments surrouding the Colombian elections in 2018. Sentiment analysis entirely on Spanish tweets with interesting external data sourcing.
Python PDF Parser -- fork with Python 2+3 support using six
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
A community based Python library for quantitative economics
Skills API
Data Processing and Machine learning methods for the Open Skills Project
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A collection of custom Beamer themes.
Webscrapping job vacancies in Central America's northern triangle to create a vacancies time series and apply ML to create skill contents variables/indicators
Visual analysis and diagnostic tools to facilitate machine learning model selection.