ML with Python
Questions - Answer Unit-1 Q - 2 Explain Types of Machine Learning Algorithms Machine Learning algorithms are categorized based on the type of task they perform: 1. Regression Algorithms Used for predicting continuous values. Examples: Linear Regression, Ridge Regression, Lasso Regression. Use Case: Predicting house prices, stock price trends. 2. Classification Algorithms Used for predicting categorical outcomes. Examples: Logistic Regression, Random Forest, Support Vector Machines (SVM), K-Nearest Neighbors (KNN). Use Case: Spam detection, fraud detection. 3. Clustering Algorithms Used to group data points into clusters based on similarity. Examples: K-Means, Hierarchical Clustering, DBSCAN. Use Case: Customer segmentation, recommendation systems. 4. Dimensionality Reduction Algorithms Used to reduce the number of input features while retaining important information. Examples: Principal Component Analysis (PCA), t-SNE, Autoencoders. Use Case: Image compression, feature selection. ...
