algorithims of machine learning

1. Machine Learning Algorithms
Overview of Popular ML Algorithms

2. Categories of ML Algorithms
• 1. Supervised Learning
• 2. Unsupervised Learning
• 3. Semi-Supervised Learning
• 4. Reinforcement Learning

3. Supervised Learning Algorithms
• - Linear Regression
• - Logistic Regression
• - Decision Trees
• - Random Forest
• - Support Vector Machines (SVM)
• - K-Nearest Neighbors (KNN)
• - Naïve Bayes

4. Unsupervised Learning Algorithms
• - K-Means Clustering
• - Hierarchical Clustering
• - DBSCAN (Density-Based Spatial Clustering)
• - PCA (Principal Component Analysis)
• - Apriori Algorithm (Association Rules)

5. Reinforcement Learning Algorithms
• - Q-Learning
• - Deep Q-Networks (DQN)
• - SARSA (State-Action-Reward-State-Action)
• - Policy Gradient Methods

6. Ensemble Methods
• - Bagging (e.g., Random Forest)
• - Boosting (e.g., AdaBoost, Gradient Boosting)
• - Stacking (e.g., using multiple models)