🚀 My Machine Learning Algorithms Collection

A curated collection of machine learning algorithms and implementations covering fundamental concepts to advanced techniques.

📂 Repository Structure

My-ML-Algorithms/
├── GridSearchCV+RandomizeCV/               # Hyperparameter tuning implementations
│   └── Create HyperTuning on Wine Dataset.py
├── Linear Regression/                       # Linear regression models
├── Logistic Regression/                     # Classification models
│   └── Create Predict Target Value.py
├── Scaling+Baging/                          # Feature scaling and ensemble methods
├── Spam Detection Using Naive Bayes/        # NLP application
├── Hidden_layer_and_parameter.ipynb         # Neural network experiments (Colab)
├── KNN Algorithms using iris dataset.py     # K-Nearest Neighbors implementation
├── Naive bayes Wine_Dataset.py              # Naive Bayes classifier
└── test.ipynb                               # Experimental notebook