https://github.com/divakarkumarp/nyc-taxi-fare-prediction
https://github.com/divakarkumarp/nyc-taxi-fare-prediction
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/divakarkumarp/nyc-taxi-fare-prediction
- Owner: divakarkumarp
- License: mit
- Created: 2024-03-08T08:12:45.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-08T11:32:02.000Z (about 1 year ago)
- Last Synced: 2025-01-22T08:13:25.504Z (4 months ago)
- Language: Python
- Size: 42.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# New York City Taxi Fare Prediction
Imagine you're hopping in a taxi in New York City. How much will the ride cost? NYC Taxi Fare Prediction is a data science challenge that tackles this question. It involves training a machine learning model to predict taxi fares. The model is fed data about past rides, including pickup and dropoff locations, number of passengers, and the final fare paid.
This makes it a valuable tool for both taxi riders and planners, helping estimate costs and optimize routes.
## Overview:
Software And Tools Requirements
1. [Github Account](https://github.com)
2. [VSCodeIDE](https://code.visualstudio.com/)
3. [GitCLI](https://git-scm.com/book/en/v2/Getting-Started-The-Command-Line)
Technology and tools wise this project covers,
1. Python
2. Numpy and Pandas for data cleaning
3. Data visualization
4. Sklearn for model building
5. Jupyter Notebook
* Famework: Flask , HTML
-----------------------------------------------------------------------------------------------------------------
### Technologies Used:
[
](https://numpy.org) [
](https://pandas.pydata.org) [
](https://seaborn.pydata.org) [
](https://matplotlib.org) [
](https://colab.research.google.com/)
[
](https://scikit-learn.org/stable/index.html)
[
](https://flask.palletsprojects.com/en/3.0.x/)