python machine learning methods for machine learning there are various ml algorithmstechniques and methods that can be used to build models for solving real-life problems by using data in this we are going to discuss such different kinds of methods different types of methods the following are various ml methods based on some broad categoriesbased on human supervision in the learning processsome of the methods that are based on human supervision are as followssupervised learning supervised learning algorithms or methods are the most commonly used ml algorithms this method or learning algorithm take the data sample the training data and its associated output labels or responses with each data samples during the training process the main objective of supervised learning algorithms is to learn an association between input data samples and corresponding outputs after performing multiple training data instances for examplewe have xinput variables and youtput variable nowapply an algorithm to learn the mapping function from the input to output as followsy= (xnowthe main objective would be to approximate the mapping function so well that even when we have new input data ( )we can easily predict the output variable (yfor that new input data it is called supervised because the whole process of learning can be thought as it is being supervised by teacher or supervisor examples of supervised machine learning algorithms includes decision treerandom forestknnlogistic regression etc based on the ml taskssupervised learning algorithms can be divided into following two broad classesclassification regression