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Robert Mujica's Projects

cd4ml-scenarios icon cd4ml-scenarios

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

eslint icon eslint

A fully pluggable tool for identifying and reporting on patterns in JavaScript.

mapreducepatterns icon mapreducepatterns

Repository for MapReduce Design Patterns (O'Reilly 2012) example source code

nlp_workshop_odsc_europe20 icon nlp_workshop_odsc_europe20

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

odsc_sota icon odsc_sota

State of the art methods with Tensorflow workshop at ODSC 2020

stock-trading-ml icon stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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