Machine Learning Tutorials

Welcome to our collection of machine learning tutorials! Whether you're a beginner or an experienced developer, these tutorials will help you learn and implement various machine learning algorithms and techniques.

Tutorials Overview

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning

Supervised Learning

Supervised learning is a type of machine learning where the algorithm learns from labeled training data. Here are some popular supervised learning algorithms:

• Linear Regression
• Logistic Regression
• Support Vector Machines

Unsupervised Learning

Unsupervised learning is a type of machine learning where the algorithm learns from unlabeled data. This section covers various unsupervised learning techniques:

• K-Means Clustering
• Principal Component Analysis (PCA)
• Association Rules Learning

Reinforcement Learning

Reinforcement learning is a type of machine learning where an agent learns to make decisions by performing actions in an environment to achieve a goal. Here are some popular reinforcement learning algorithms:

• Q-Learning
• Deep Q-Network (DQN)
• Policy Gradient Methods

Deep Learning

Deep learning is a subset of machine learning that involves neural networks with many layers. This section covers various deep learning techniques:

• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)

Machine Learning Diagram