In this blog, I will be writing about a well known supervised ML algorithm used for for two-group classification problems, that is, Support Vector Machine(SVM). Here I will explain about What is SVM, How does SVM work, SVM kernels, SVM use cases and finally I will provide link to my…

In this Blog I will be sharing the explained implementation of image Segmentation using K-Means Clustering. Also I will be sharing my Jupyter Notebook of the implementation for references. So before we jump into implementation lets learn about what is Image Segmentation and its uses. Image Segmentation: In computer vision, image segmentation…

In this Blog I will be writing about a well known unsupervised ML algorithm, that is, K-Means Clustering. Here I will explain about What is Clustering, Types of Clustering, types of clustering algorithm, K-Means Clustering, How does k-means algorithm works, applications of k-means clustering and I will provide link to…

In this Blog I will be writing about a widely used classification ML algorithm, that is, Logistic Regression. Here I will cover the topics like What is Logistic Regression, Why we use it, How to get started with logistic Regression, Applications of Logistic regression, Advantages/Disadvantages also I will provide my…

In this Blog I will be writing about a very famous classification as well as regression ML algorithm, that is, Random Forest Here I will explain about what is random forest, why we use it, Introduction to ensemble method, Random Forest analogy, How to use Random Forest, Applications of Random…

In this Blog I will be writing about a widely used classification (machine learning) algorithm, that is, Decision Tree. Here I will explain about what is Decision Tree, Types of Decision Tree Algorithm, How to create a Decision Tree, Applications of Decision Tree, Advantages/Disadvantages and finally I will provide link…

In this Blog I will be writing about a very famous supervised learning algorithm, that is, k-nearest neighbors or in short KNN. Here I will explain about what is KNN algorithm, Industrial uses of KNN algorithm, How the KNN algorithm works, How to choose the value of K, Advantages/Disadvantages and…

In this blog I will be writing about Linear Regression, that is, what is linear regression, finding best fit regression line, checking goodness of fit etc. In the end of the blog I’ll provide link to my jupyter notebook in which I have implemented a Linear Regression model from scratch…

So this 3rd part of the blog as well as final part, as I will be covering the final topics for mathematics and statistics behind Machine Learning. If you didn’t see my previous blog please do check it. Here’s the link to it. Part 1 — Mathematics and Statistics behind Machine Learning — PART 1 Linear Algebrashubhangagrawal1999.medium.com Part 2 — Mathematics and Statistics behind Machine Learning — PART 2 Probability & Statistics for Machine Learningshubhangagrawal1999.medium.com