Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed.
Machine Learning is broadly classfied as 2 types.
1.Supervised Machine Learning
2.Unsupervised Machine Learning
Supervised Machine Learning algorithms build using labelled dataset. Labelled dataset means each input contains it's own output. Supervised Models will learn continuosly by correcting the model's output with original output.
Supervised Algorithms
1.Linear Regression
2.Logistic Regression
3.Support Vector Machines
4.Decision Tree
5.K-Nearest Neighbour
6.Naive Bayes
Unsupervised Machine Learning algorithms uses only inputs (unlabelled dataset) to build their model. It mainly classifies or groups the data points into different groups.
Unsupervised Algorithms
1.Clustering