# Basic idea of SVM “Support Vector Machine” (SVM) is a supervised machine learning algorithm which can be used for both classification or regression challenges. However, it is mostly used in classification problems. …

Image segmentation is an important step in image processing, and it seems everywhere if we want to analyze what’s inside the image. For example, if we seek to find if there is a chair or person inside an indoor image, we may need image segmentation to separate objects and analyze…

The k-means clustering method is an unsupervised machine learning technique used to identify clusters of data objects in a dataset. k-means is one of the oldest and most approachable. The objective of K-means is to group similar data points together. …

What is Decision Tree? Decision Tree is a supervised, non parametric machine learning algorithm. Used for both classification as well as regression problems. It is a graphical representation of tree like structure with all possible solutions. It helps to reach a decision based on certain conditions.

It is the supervised learning method for binary classification problems (problems with two class values). Logistic Regression was used in the biological sciences in early twentieth century. It was then used in many social science applications. Logistic Regression is used when the dependent variable(target) is categorical. For example, To predict…

A supervised machine learning algorithm is one that relies on labeled input data to learn a function that produces an appropriate output when given new unlabeled data. ex => K Nearest Neighbours KNN is a lazy learning, non-parametric algorithm. It uses data with several classes to predict the classification of…

In layman terms

Pipeline of Linear Regression in Layman terms: