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https://github.com/arpan132002/traffic-forecast-time-series-analysis
Traffic Forecasting using Time Series Analysis
https://github.com/arpan132002/traffic-forecast-time-series-analysis
forecasting machine-learning time-series
Last synced: about 1 month ago
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Traffic Forecasting using Time Series Analysis
- Host: GitHub
- URL: https://github.com/arpan132002/traffic-forecast-time-series-analysis
- Owner: arpan132002
- Created: 2024-08-17T10:01:39.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-08-17T10:04:09.000Z (5 months ago)
- Last Synced: 2024-08-17T11:23:21.375Z (5 months ago)
- Topics: forecasting, machine-learning, time-series
- Language: Jupyter Notebook
- Homepage:
- Size: 349 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Traffic Forecast - Time Series Analysis
# Dataset Information
Investors are considering making an investment in a new form of transportation - JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! While JetRail has mastered the technology and they hold the patent for their product, the investment would only make sense, if they can get more than 1 Million monthly users with in next 18 months.
You need to help Unicorn ventures with the decision. They usually invest in B2C start-ups less than 4 years old looking for pre-series A funding. In order to help Unicorn Ventures in their decision, you need to forecast the traffic on JetRail for the next 7 months.
# Attribute Information:
Datetime - Date and time of the day \
Count - Count of the vehicle
**Download link:** https://datahack.analyticsvidhya.com/contest/practice-problem-time-series-2/
# Libraries
# Algorithms