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Introduction ID3 stands for Iterative Dichotomiser 3 and is named such because the algorithm iteratively (repeatedly) dichotomizes(divides) features into two or more groups at each step. ID3 uses a top-down greedy approach to build a… Read More »Decision Tree – ID3

A decision tree is a tree-like structure where each internal node represents a test on a specific attribute, each branch represents the outcome of the test or decision, and each leaf node represents a class… Read More »Decision Tree – Introduction

To understand why (overfitting) and where (regression) you need regularization, please go through: Intuition Let us say we want to make this function more quadratic since it is overfitting due to its higher degree-  … Read More »Regularization

In the realm of machine learning and data modeling, achieving the perfect balance between a model’s ability to generalize and its tendency to memorize the training data is a critical challenge. This tutorial will dive… Read More »Underfitting and overfitting

Logistic regression is a statistical method used to model the probability of a certain outcome or event occurring based on a set of input variables. It is mostly used in classification tasks. Then why is… Read More »Logistic Regression

Assumptions in linear regression refer to a set of conditions or requirements that need to be satisfied for the regression model to be valid and for the statistical inference to be reliable. These assumptions help… Read More »Assumptions in Linear regression

Let’s start with our first algorithm of machine learning – Linear Regression. This algorithm is used to predict a target that is continuous like the price of the house, the temperature of a place, the… Read More »Linear Regression

In this section, we will cover some fundamental machine learning terminologies that will be used throughout our learning. If you are already familiar with these terms, feel free to skip this section. Features / independent… Read More »Basic Machine Learning Terminology

Machine learning is a field of computer science that focuses on developing algorithms and models to learn patterns and insights from data, and use that knowledge to make predictions and decisions. In machine learning, an… Read More »Introduction to Machine Learning