Weather Summary Classification Machine Learning Project
This project develops a machine learning-based system to classify weather summaries using historical meteorological data. It applies preprocessing, SMOTE for handling class imbalance, and models like SVM and Gradient Boosting to improve prediction accuracy. The system provides reliable weather insights to support decision-making in various weather-dependent sectors.
Project ID: 0686
Sub domains: Machine Learning, Data Science, Weather Analytics, Artificial Intelligence (AI)
Domain: Python
Project Year: 2026
Keywords: Weather Classification Machine Learning SVM Gradient Boosting SMOTE Data Preprocessing Predictive Analytics
Project Cost : ₹6500
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