🧠 Machine Learning Repository

A collection of machine learning projects and experiments showcasing supervised, unsupervised, and deep learning techniques with practical implementations on real-world datasets. This repository serves as both a learning resource and a hands-on project hub for data science and AI enthusiasts.

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📌 Features

• 🔹 Data preprocessing & feature engineering
• 🔹 Supervised learning (classification & regression)
• 🔹 Unsupervised learning (clustering & dimensionality reduction)
• 🔹 Deep learning models with TensorFlow & PyTorch
• 🔹 Model evaluation, hyperparameter tuning, and visualization
• 🔹 Jupyter notebooks with step-by-step explanations

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📂 Repository Structure

machine-learning/
│
├── data/                # Sample datasets or links to external data
├── notebooks/           # Jupyter notebooks for experiments
├── models/              # Saved trained models
├── scripts/             # Python scripts for training & evaluation
├── requirements.txt     # Dependencies
└── README.md            # Project documentation

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🔧 Setup Instructions

1️⃣ Clone the Repository

git clone https://github.com/deypadma2020/machine-learning.git
cd machine-learning

2️⃣ Create and Activate a Virtual Environment

python -m venv venv
# On Linux/Mac
source venv/bin/activate
# On Windows
venv\Scripts\activate

3️⃣ Install Dependencies

pip install -r requirements.txt

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📊 Algorithms Implemented

• Decision Trees, Random Forests, Gradient Boosting
• Logistic Regression, Linear Regression
• K-Nearest Neighbors (KNN)
• Support Vector Machines (SVM)
• Naive Bayes
• K-Means Clustering, PCA
• Neural Networks (TensorFlow & PyTorch)

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📈 Results & Visualizations

Each notebook includes:

• 📊 Exploratory Data Analysis (EDA)
• 🧠 Model training & evaluation
• 📉 Performance metrics (accuracy, precision, recall, F1-score, RMSE, etc.)
• 📈 Data visualizations and insights

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🚀 Future Work

• ⚙️ Add advanced deep learning models (CNNs, RNNs, Transformers)
• 🌐 Model deployment using FastAPI or Docker
• 🎯 Hyperparameter tuning with Optuna or GridSearchCV

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🏷️ Topics

machine-learning deep-learning supervised-learning unsupervised-learning data-science classification regression clustering notebooks model-training