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This project involves performing linear regression to predict energy consumption based on various features such as temperature, humidity, wind speed, and time of day. The analysis includes data preprocessing, feature engineering, and model evaluation to ensure accurate predictions.

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JamshedAli18/Energy-Consumption-Regression

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Energy Consumption Regression

This project involves performing linear regression to predict energy consumption based on various features.

Columns Description

The dataset contains the following columns:

  • X1: Relative Compactness
  • X2: Surface Area
  • X3: Wall Area
  • X4: Roof Area
  • X5: Overall Height
  • X6: Orientation
  • X7: Glazing Area
  • X8: Glazing Area Distribution

Target Variables:

  • y1: Heating Load
  • y2: Cooling Load

Files

  • ENB2012.csv: Dataset used for the analysis.
  • linear_regression.py: Python script containing the linear regression model and evaluation.

Instructions

  1. Clone the repository:
    git clone https://github.com/your-username/energy-consumption-regression.git

About

This project involves performing linear regression to predict energy consumption based on various features such as temperature, humidity, wind speed, and time of day. The analysis includes data preprocessing, feature engineering, and model evaluation to ensure accurate predictions.

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