Cab-Fare-Prediction

You are a cab rental start-up company. You have successfully run the pilot project and now want to launch your cab service across the country. You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.

It is a regression Problem.

All the steps implemented in this project

1. Exploratory data analysis

2. Missing value Analysis

3. Outlier Analysis

4. Feature Selection

   ~Correlation analysis

5. Feature scaling

   ~Normalization

MODEL DEVELOPMENT

a. LInear regression

b. Decision tree

c. Random Forest