Time Series and Machine learning Approach for Weather Prediction
Suraj Jagtap
Data Modelling Analyst
Data Visualizer
Data Analyst
Microsoft Power BI
Python
R
• Analyzed seasonal patterns in weather data, identifying maximum temperature peaks in April and May and minimum temperatures in December and January.
• Developed and evaluated SARIMA, Exponential Smoothing, and ARIMA models, determining Exponential Smoothing as the most effective with 94.4% accuracy.
