LSTM based Model for Time Series Data in R
Budget: $30 – $250 USD
I need a trained, validated and tested model with LSTM to predit the output.
One year long data with 4 input parameters and 1 output ..data is with 15 minutes frequency. The model is intended to be used for development o MPC.
Some important information>
1- Pre-preocessing of data to check null values, correlation and seasonal variations in the input/output
2- Training with 80% data, Validation with 15% data and testing with 5% data (with 15 minutes data)
3- Model performnace evalustion indeicators like MAPE, MAD, MSE
4- If Normalised, data should be converted to orignal format for plotting the results of precite v/s actual...
One year long data with 4 input parameters and 1 output ..data is with 15 minutes frequency. The model is intended to be used for development o MPC.
Some important information>
1- Pre-preocessing of data to check null values, correlation and seasonal variations in the input/output
2- Training with 80% data, Validation with 15% data and testing with 5% data (with 15 minutes data)
3- Model performnace evalustion indeicators like MAPE, MAD, MSE
4- If Normalised, data should be converted to orignal format for plotting the results of precite v/s actual...
Related categories:
Statistics
Machine Learning (ML)
R Programming Language
Statistical Analysis
Deep Learning