New York City Taxi Fare Analysis & Prediction

In this project using New York dataset we will predict the fare price of next trip.

The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips

The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

1. pickup_latitude
2. pickup_longitude
3. dropoff_latitude
4. dropoff_longitude
5. fare_amount
6. pickup_datetime
7. passenger_count

Techniques Used

• Data Preprocessing
• Data Visualization
• Feature Engineering
• Machine Learning Modeling

Algortihm Used

1. Random Forest Regressor

Guide Lines

Packages and Tools Required:

Pandas 
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook
Geopy

Package Installation

pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib
pip install geopy

Jupyter Notebook Installation Guide https://jupyter.org/install