• Developed an early flood prediction system using LightGBM machine learning algorithm, focusing on data collection, model implementation, performance evaluation, and interface development. • Utilized key libraries including Numpy, Pandas, Matplotlib, Seaborn, TensorFlow Keras Utils, Imbalanced-learn, and Scikit-learn for comprehensive data manipulation, visualization, and model evaluation. • Demonstrated the practical application of the model in aiding emergency response teams with early detection, risk assessment, and decision-making processes.
-
Notifications
You must be signed in to change notification settings - Fork 0
Aparna-2908/Flood_prediction
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
No description, website, or topics provided.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published