An application of Artificial Intelligence (AI) that gives devices the ability to learn from their experiences and improve themself without doing any coding.
What is a Machine
Learning Algorithm?
A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data.
1. Linear Regression
It is a statistical technique for performing predictive analysis. For continuous/real/numeric variables like sales, salary, age, and product price, among others, linear regression produces predictions.
2. Logistic Regression
Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given dataset of independent variables.
3. Decision Tree
A strategy for supervised learning that may be applied to classification and regression problems, but is most often used to address classification problems.
4. SVM Algorithm
Support Vector Machine is one of the most popular Supervised Learning algorithms used for Classification and Regression problems.
5. Naive Bayes Algorithm
The Nave Bayes algorithm is a supervised learning method for classification issues that is based on the Bayes theorem. It is mostly employed in text categorization with a large training set.