Time Series and Machine learning Approach for Weather Prediction
Suraj Jagtap
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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.
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I analyzed seasonal weather patterns, finding peak temperatures in April-May and lows in Dec- Jan. Exponential Smoothing model Forecast temp 94.4% accurately.
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Data Modelling Analyst
Data Visualizer
Data Analyst
Microsoft Power BI
Python
R
Suraj Jagtap
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