chandaruarichard31-pixel/Ml_project.01

prediction fish quantity(kg) in Tanzania ### **Tanzania Fish Catch Prediction** ##### This is a Machine Learning web application that predicts the quantity of fish caught (in kg). ##### **Project Overview.** The model uses historical data to estimate fish yields for common Tanzanian fish types.   It considers: *   Fish Type: (Tilapia, Dagaa, Sangara, etc.) *   Weather Conditions:(Sunny, Rainy, Cloudy, Dry) *   Season:(Spring, Summer, Autumn, Winter) *   Fishermen: Number of people involved in the catch. **Tech Stack.** *   Language: Python *   Framework: \Streamlit *   ML Library: \Scikit-Learn *   Data Handling:Pandas \& NumPy *   Model Storage:Joblib  **File Structure** *   app.py: The main script for the Streamlit web interface. *   ml\_project.ipynb: The trained machine learning model. *   requirements.txt: List of Python libraries required for deployment. **How to Run Locally**   Clone the repository:   bash   git clone github.com