New-York-City-Taxi-Fare-Prediction

About 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 8 features along with GPS coordinates of pickup and dropoff

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

The dataset contains 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

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

Algortihm Used

1. Linear Regression
2. Polynomial Regression
3. Ridge Regression
4. Decision Tree Regression
5. KNeighborsRegressor
6. Support Vector Machines
7. Neural Network
8. XGBoost

Guide Lines

Packages and Tools Required:

Numpy
Pandas 
Matplotlib
Seaborn
folium
Jupyter Notebook
Scikit Learn
tensorflow
xgboost

Kaggle Dataset : https://www.kaggle.com/c/new-york-city-taxi-fare-prediction/data