Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
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Updated
Jan 24, 2021 - Python
Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)
Crypto & Stock* price prediction with regression models.
Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
This repository implements the CatBoostRegressor model for predicting prices of financial instruments like stocks, currencies, and cryptocurrencies. It uses gradient boosting to capture patterns in price movements, improving the accuracy and robustness of price forecasts.
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🧠 Predict COVID-19 mortality rates using a Multilayer Perceptron model, built from CDC data, without high-level frameworks.
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