GitHub / sushant1827 / Traffic-Forecasting-using-IoT-Sensor-Data
Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.
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PURL: pkg:github/sushant1827/Traffic-Forecasting-using-IoT-Sensor-Data
Stars: 4
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 908 KB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 5 months ago
Pushed at: 6 months ago
Last synced at: 2 months ago
Topics: data-analysis, data-visualization, exploratory-data-analysis, feature-engineering, feature-importance, feature-selection, gridsearchcv, hyperparameter-optimization, hyperparameter-tuning, iot, random-search, xgboost-regression