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GitHub / RohitG57 / Seoul-Bike-Sharing-Demand
In this Machine Learning project Rented Bike Count is predicted based on different Independent features using regression models like Linear Regression, KNN, SVR, DT, RF and XGBRegressor. Time series model SARIMAX is also used to predict dependent variable.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RohitG57%2FSeoul-Bike-Sharing-Demand
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 14.2 MB
Dependencies:
0
Created: about 2 months ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: regression-analysis, sarimax, time-series-analysis, xgboost
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