Today’s blog will give you a warm-up for mathematical concepts involved in machine learning. So, let’s relive those days in high-school where you absolutely “adored” mathematics and wondered how learning this stuff would be useful in life. Why do we need to learn maths? Firstly, what people need to understand is that knowing libraries required for machine…

Today we will be learning about a probabilistic classification algorithm known as logistic regression and its implementation. Introduction Logistic regression comes under the supervised machine learning algorithms. Its name is a bit misleading as it is used for binary classification however, the regression part stems from its similarity to linear regression…

Today, we will learn about the competence of a very “naive” algorithm known as Naive Bayes. We would also be discussing its implementation (from scratch) on a dataset containing both categorical and continuous values. Introduction Naive Bayes is a supervised learning algorithm used for classification problems. It comes from the family…

“Support Vector Machine” seems like handful of a name, but it is pretty simple if you understand it nicely. Today’s blog will give you a run through regarding what SVM is, how useful it is and how to implement linear SVM from scratch. Introduction It is a supervised-learning algorithm used for…

Today we will be learning together a very interesting algorithm that uses similarity among items to group them. The idea seems pretty similar to that of KNN algorithm but the algorithm is not. Let’s get started with the k-means algorithm What is clustering and what are its types? Clustering is a process of grouping up data points or…

Greetings, my fellow noobs. Today I have compiled a blog for decision trees, a concept which at first glance may seem like a “tangled mess” but is much simpler than that. …

Today, we will be learning about KNN algorithm, its applications, intuition behind it and its implementation with MNIST dataset. Introduction KNN or K-Nearest Neighbours is a supervised classification algorithm and is as straightforward of an algorithm as its name. This algorithm classifies a given instance based on the groups of its…

In this blog, we will understand probably the most basic algorithm in machine learning which is linear regression — Introduction Linear regression is an algorithm that models the relationship variables linearly. When we say relationship, it is between our dependent variable and the independent variable(s). In this algorithm, we create a “linear” regression line in such a way that it “fits” our dataset. This is a regression algorithm which means…

In today’s blog, we will get into the nitty gritty of things and go down memory lane to revisit our “beloved” high school mathematics topic of linear algebra. We will also discuss why studying linear algebra is essential for getting started with machine learning. What is Linear Algebra? It is a branch of mathematics…