/Multiple-Linear-Regression-with-Python

Primary LanguageJupyter Notebook

Multiple-Linear-Regression-with-Python

Objectives

After completing this lab you will be able to:

  • Use scikit-learn to implement Multiple Linear Regression
  • Create a model, train it, test it and use the model

Table of contents

  1. Understanding the Data
  2. Reading the Data in
  3. Multiple Regression Model
  4. Prediction
  5. Practice

Understanding the Data

FuelConsumption.csv:

We have downloaded a fuel consumption dataset, FuelConsumption.csv, which contains model-specific fuel consumption ratings and estimated carbon dioxide emissions for new light-duty vehicles for retail sale in Canada. Dataset source

  • MODELYEAR e.g. 2014
  • MAKE e.g. Acura
  • MODEL e.g. ILX
  • VEHICLE CLASS e.g. SUV
  • ENGINE SIZE e.g. 4.7
  • CYLINDERS e.g 6
  • TRANSMISSION e.g. A6
  • FUELTYPE e.g. z
  • FUEL CONSUMPTION in CITY(L/100 km) e.g. 9.9
  • FUEL CONSUMPTION in HWY (L/100 km) e.g. 8.9
  • FUEL CONSUMPTION COMB (L/100 km) e.g. 9.2
  • CO2 EMISSIONS (g/km) e.g. 182 --> low --> 0