Merge pull request #797 from Varunshiyam/Fixes-#796

Fixes #796 Avocado Price Prediction with Machine Learning Models

Prediction Models/Avocado_Prediction/Readme.md

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+# Avocado Price Prediction with Machine Learning Models
+
+This project predicts the average price of avocados across different regions in the United States using various machine learning models, including a Keras-based Artificial Neural Network (ANN). Data preprocessing and exploratory data analysis (EDA) are employed to uncover trends and improve model performance.
+
+## Project Structure
+
+- **Data Preprocessing**: Data loading, cleaning, and encoding of categorical variables.
+- **Exploratory Data Analysis (EDA)**: Visualization of trends and outliers using seaborn and matplotlib.
+- **Model Training**: Implementation of multiple models (KNN, SVC, Decision Tree, ANN).
+- **Evaluation**: Comparing model performance and tuning hyperparameters for optimal results.
+
+## Models Used
+
+1. **K-Nearest Neighbors (KNN)**
+2. **Support Vector Classifier (SVC)**
+3. **Decision Tree Classifier**
+4. **Artificial Neural Network (ANN)** - Developed using Keras for deep learning.
+
+## Dependencies
+
+- Python 3.x
+- Pandas
+- Numpy
+- Matplotlib
+- Seaborn
+- Scikit-learn
+- Keras (TensorFlow backend)