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7 search results found

Notebooks ⭐ 101

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow

Appendices ⭐ 25

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

Cryptocurrency Predictor ⭐ 6

A Machine learning pipline which gathers data from coinmarketcap.com and analyzes it using a neural network regression implemented in keras

Machine Learning ⭐ 5

My Implementation of Machine Learning models

Ml Finance ⭐ 5

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

Partially-Interpretable Neural Networks for Extreme Value modelling

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