LizzieHillz/Food_Price_Prediction

This project is a machine learning model designed to predict food prices based on input features. It's developed for a Hackathon project (Farm Food Hub) with Africa Agility. # 🧠 Price Prediction Model This repository contains a machine learning project aimed at predicting the price of food items based on provided features using regression techniques. The project was developed using a Jupyter Notebook, with steps including data preprocessing, model training, and evaluation. ## 📌 Project Overview - **Objective:** Predict product prices using features such as category, weight, quantity, etc. - **Dataset:** A CSV file containing sample data related to products (e.g., name, price, weight, quantity, etc.) - **Model Used:** Linear Regression - **Evaluation Metric:** R² Score and Mean Squared Error (MSE) ## 🧱 Workflow Summary 1. **Data Preprocessing:** - Removed irrelevant columns - Handled null values - Converted data types - Encoded categorical features 2. **Exploratory Data Analysis (EDA):** - Plotted correlation heatmaps - Visualized relationships between variables 3. **Model Training:** - Used `train_test_split` to divide the dataset - Trained a Linear Regression model - Evaluated with R² Score and MSE 4. **Model Performance:** - R² Score: *Displayed in notebook* - MSE: *Displayed in notebook* ## 🛠️ Technologies Used - Python - Jupyter Notebook - Pandas, NumPy - Matplotlib, Seaborn - Scikit-learn ## 🙌 Acknowledgements This project was created as part of my machine learning learning journey. Feel free to fork and use for your own projects. ## 📬 Contact For feedback or collaboration, reach out to me via LinkedIn (linkedin.com) or email (omegorchisom25@gmail.com). ## 🗂️ How to Use 1. Clone the repo: ```bash git clone github.com cd price-prediction-model