Oil Temperature Forecasting Project Project Overview This project involves forecasting the oil temperature (OT) of electricity transformers using machine learning models. The goal is to predict OT for the next 24 hours based on historical data.
Table of Contents Installation Data Preparation Running the Model Model Evaluation Project Structure Dependencies Assumptions
Clone the Repository
git clone (https://github.com/dynamicashuu/ashutosh_adaptready_assignment).git cd ashutosh_adaptready
unzip the zip file : the files have been zipped because i faced size issue while pusing on github
Running the files :
Run the .ipynb files in the existing python environment orjupypter notebook environment
Project structure :
ashutosh_adaptready/
│
├── data_preprocessing/
│ ├── preprocessing.ipynb
│
│
├── random_forest_model.pkl
│
├── data exploration.ipynb
│
├── featureengineering.ipynb
├── model_building.ipynb
├── test.csv
├── trai.csv
├── featured_test.parquet
├── featured_train.parquet
├── readme.md
└── model_selection.txt