Automobile Price Prediction - IT17030304

February 15, 2020
How to use Regression algorithms to make numerical predictions.
**Prepare the data** Clean the data -Removed normalized-losses column since that column has a large proportion of missing values. -Removed rows that has missing data **Define features** Features -make, body-style, wheel-base, engine-size, horsepower, peak-rpm, highway-mpg, price **Choose and apply an algorithm** Split Data -75 percent of the data to train the model and hold back 25 percent for testing. Machine Learning category -Used Linear Regression module under the Regression category **Predict new automobile prices** Run the experiment and view the output from the Score Model