Linear Regression Model

Simple Multivariable Linear Model using Scikit Learn Library

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1. Imported Dataset
2. Seperated Features and Labels (Finding Dependent and Independent Variables)
   • Dependent variable should be Vector
   • Independent variable should be Matrix
3. Splitting Data into Training and Test Sets
4. Feature Scaling -- Optional
   • Standardization using StandardScaler Class)
5. Training Linear Mode (On Training Set)
6. Optimal Coefficients
   • Model has to find the most optimal coeffients for all the attributes.
7. Prediction