📚 Machine Learning & Deep Learning Projects Collection

This repository contains two complete projects demonstrating real-world applications of machine learning and deep learning using Python and Jupyter Notebooks. Both projects focus on practical implementation with clear steps and explanations.

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📂 Projects Included

1️⃣ Gold Price Prediction 🪙

Objective: Predict the daily closing price of gold using machine learning models.

✅ Features

• Exploratory Data Analysis (EDA)
• Handling missing values & outliers
• Feature Engineering (Moving Averages)
• Regression model using RandomForestRegressor
• Model Evaluation: MAE, MSE, RMSE, R²

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2️⃣ Disease Classification using CNN 🩺

Objective: Classify disease categories using deep learning (CNN) on image datasets.

✅ Features

• Image Preprocessing & Augmentation
• Model Building with Convolutional Neural Networks (CNN)
• Train-Test Split
• Model Evaluation: Accuracy, Confusion Matrix
• Predict on New Images

⚙️ Requirements

• Python 3.x
• Jupyter Notebook
• Libraries: pandas, numpy, matplotlib, seaborn, scikit-learn, TensorFlow/Keras (for CNN)