Predicting Price of Second hand Vehicles.

Making a Model for Price Prediction using Machine Learning Algorithms.

This Project of mine involves :

• Loading the dataset and checking for null values.
• Doing Exploratory Data Analysis.
• Visualization of the considerable factors.

Analysis :

• Making dummy variables.
• Finding Correlations.
• Plotting a heatmap from that correlation.
• And a Pairplot for understanding the data better.

Feature Engineering :

• Independent and Dependent features were made.
• Done the Train-Testt split.

Now Making the model for predicting the price :

Extra Tree Regressor model

• Fitted the model
• It was used for finding out the important features.
• Plotted the Important Features.

RandomForest Regressor

Selected parameters using

• Hyperparameter Tuning
• And RandomizedSearchCV

And Now, for the Prediction,

• Fitted the model Looked for the :
• best parameters
• and Scores.

Plotted the Model using Seaborn Library

• Normal Distribution curve was formed.

And at last , looked for the errors:

• Mean Absolute Error
• Mean Squared Error
• Root Mean Squared Error