AI initials models

How Models Work

Linear regression: A statistical technique that is used to model the relationship between a dependent variable and one or more independent variables.
Logistic regression: A statistical technique that is used to model the relationship between a dependent variable and one or more independent variables in binary classification problems.
Decision trees: A simple yet powerful machine learning algorithm that is used for both classification and regression tasks.
Naive Bayes: A probabilistic machine learning algorithm that is based on Bayes’ theorem, used for classification tasks.
K-means clustering: An unsupervised machine learning algorithm that is used to partition a dataset into K clusters based on their similarities.
Random Forest: A popular ensemble learning method that combines multiple decision trees to improve the accuracy of the model.
Support Vector Machines (SVMs): A popular supervised learning algorithm that is used for classification and regression tasks.
Artificial Neural Networks (ANNs): A family of machine learning models inspired by the structure and function of biological neural networks, used for a variety of tasks such as image recognition, natural language processing, and speech recognition.