Welcome to the Machine Learning Algorithms Repository! This repository hosts a diverse collection of machine learning algorithms, carefully curated to cover a wide spectrum of techniques and methodologies in the field of artificial intelligence.

Machine learning is a rapidly evolving field with applications spanning across various domains, including computer vision, natural language processing, healthcare, finance, and more. This repository aims to provide a comprehensive resource for both beginners and experienced practitioners to explore, learn, and experiment with different machine learning algorithms.

• Supervised Learning: Explore algorithms that learn from labeled data, such as linear regression, logistic regression, support vector machines (SVM), decision trees, random forests, and more.
• Unsupervised Learning: Dive into algorithms for discovering patterns and structures in unlabeled data, including clustering algorithms like k-means, hierarchical clustering, and dimensionality reduction techniques like principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE).
• Model Evaluation: Learn how to evaluate and assess the performance of machine learning models using metrics such as accuracy, precision, recall, F1-score, ROC curve, and AUC-ROC.
• Implementation Examples: Access code implementations and usage examples for each algorithm, facilitating easy understanding and adoption.
• Documentation: Find comprehensive documentation, explanations, and references to supplementary resources for deeper exploration of each algorithm.

1. Exploration: Browse through the repository to discover various machine learning algorithms.
2. Learning: Study the implementation details and usage examples provided for each algorithm.
3. Experimentation: Experiment with different algorithms on your datasets or use the provided sample datasets for practice.
4. Contribution: If you have improvements or additional algorithms to contribute, feel free to submit pull requests to enhance the repository.

To get started, simply clone this repository to your local machine:

git clone https://github.com/NathanaelTamirat/ML--algorithms.git