abhinavkumar2369/Rainfall-Prediction-Model-Scikit

This is Rainfall Prediction Model made using Python, Numpy, Matplotlib, Pandas, Scikit-Learn.

Overview ⭐

• This is Rainfall Prediction Model made using Python, Numpy, Matplotlib, Pandas, Scikit-Learn.
• This Project take the use of Logarithmic Regression as Linear Regression accuracy is not good on the dataset.
• This Model take use of Basic dataset of multiple weather parameter such as TempAvgF, DewPointAvgF, HumidityAvgPercent, SeaLevelPressureAvgInches, WindAvgMPH for Rainfall Prediction.

> This take the use of Dataset generated with the help of Claude AI.
> This dataset is for educational purposes only and contains simulated data.

Prediction Model 📈

• In Linear Regression model - accuracy = 18.70 % (Not fit for prediction)
• In Logarithmic regression - accuracy = 85.05 %.

Confusion Matrix (Logarithmic Regression)

Data Visualization 📊

➡️ Rainfall Over Time

➡️ Precipitation Vs Time

➡️ Actual Vs Predicted Rainfall

➡️ Distribution of Rainfall

➡️ Corelation Matrix

Contributions 🧑‍💻

Contributions are welcome! Please feel free to submit issues and pull requests.

License 🪪

This project is licensed under the MIT License.