Machine Learning Algorithms

Advantages/Applications of machine learning Algorithms

Regression

Linear Regression

Non-linear regression

Polynomial Regression

Support Vector Regression (SVR)

Decision Tree Regressor

Random Forest Regression

Neural Network Regression

Classification

K-Nearest Neighbours (KNN): The Core Concept

Naive Bayes

Multinomial Naive Bayes (MultinomialNB)

Gaussian Naive Bayes (GaussianNB)

Bernoulli Naive Bayes(BernoulliNB)

Decision Tree

Logistic Regression

Support Vector Machine (SVM)

Clustering

K-Means Clustering

Hierarchical Clustering

Density-Based Clustering

Recommender Systems

Content-Based Recommender System

Collaborative filtering

Hybrid Recommender Systems

The Role of Model Evaluation in Recommender Systems