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