Weather_Analysis_Presentatidsadsadsaon.pptx

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1. Weather Patterns Analysis and Prediction Student Name: [Your Name] Submission Date: [Date]

2. Introduction • Objective: Analyze weather patterns and predict rain presence. • Dataset Overview: 730 records, 9 features (e.g., Temperature, Humidity). • Tools and Techniques: Python, Pandas, Matplotlib, K-NN Classification, K-Means Clustering.

3. Exploratory Data Analysis (EDA) • Maximum Temperature: 45.0°C • Minimum Temperature: 12.0°C • Average Humidity: 36.34% • Observed Weather Conditions: Smoke, Light Rain, Haze, Patches of Fog, Mist