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Energy Consuming Prediction - (ML Project)

This project is mainly based on regression analysis. Mian aim of this project is identify how much energy is consuming (Energy Consumption - target variable) by pepole based on the various independent factors like 'Building Type', 'Square Footage', 'Number of Occupants', 'Appliances Used', 'Average Temperature', 'Day of Week'. This project includes deeply EDA (Explotary Data Analysis),data preprocessing, and model evaluvation. For explaning the EDA and model evaluvation purpose, use the various kind of plots like scatterplot, displot and regression plots etc. For developing this project mainly use LinearRegression model, python, github and VS CodeIDE.

Software and Tools Requirements

  1. GithubAccount
  2. VSCodeIDE
  3. GitCLI

create the environment

If you are using the windows, use the below command to create the environment in terminal

   python -m venv venv

To activate, use the below command in terminal

   .\venv\Scripts\activate

Then install the requirments file using the below command in terminal

   pip install -r requirements.txt

To run the application type the below command in terminal

  flask run

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This is a ML (Machine Learning) project for predicting energy consuming by pepole

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