The practitioner's forecasting library
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Updated
Nov 1, 2024 - Python
The practitioner's forecasting library
R code for exchange rate prediction using Multilayer Perceptron (MLP) models with various architectures and evaluation metrics
This project aims to forecast the future web traffic for approximately 145,000 Wikipedia articles.
Предсказание коэффициента восстановления золота из золотодобывающей руды
Model to predict the amount of gold extracted from gold mineral.
As a Data Scientist at Zyfra Company, I developed a predictive model to estimate gold extractable from ore. Using data on extraction and purification, I trained the model to enhance the efficiency of the production process.
Project compares three regression models for predicting the amount of gold recovered from gold ore in order to optimize gold production and eliminate unprofitable parameters. Data provided by Zyfra.
Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing
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