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multiplelinearregression's Introduction

Implementation of simple Multiple Linear Regression Model

Dataset: Fuel Consumption (2014) Canada

Model: Predicting Carbon Dioxide emissions from vehicle using its Engine Size, No of Cylinders, Fuel Consumption in City, Fuel Consumption on Highway, Fuel Consumption in Combination

Libraries used:

Numpy - For numpy arrays
Matplotlib - For plotting
Pandas - To read data
Scikit-Learn - For calculating R2_score
scikit-learn is not used for predicting modelling, parameters have been learnt by writing code from scratch

Description

  • Train and Test set has been splited in ratio 80:20. Training has been done on train set.
  • Model selection has been using R2_score by trying various Learning Rates.
  • Number of Iterations has been kept equal to 1000.
  • Test set has been used to calculate cost/loss on unknown set.

multiplelinearregression's People

Contributors

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