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.
Integrated Project 2 from TripleTen
Model to predict the amount of gold extracted from gold mineral.
Energy consumption forecasting is crucial for efficient power management, grid stability, and energy resource planning. This project leverages Time Series Analysis techniques to predict energy consumption using GRU and LSTM models. By utilizing the PJM Interconnection LLC Energy Consumption Dataset, which records hourly power usage.
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.
Предсказание коэффициента восстановления золота из золотодобывающей руды
[경진대회] 전력사용량 예측 AI 모델 개발
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.
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
Add a description, image, and links to the smape topic page so that developers can more easily learn about it.
To associate your repository with the smape topic, visit your repo's landing page and select "manage topics."