Algorithms that can learn relationships between input data to make the most accurate predictions possible through different learning approaches.
In this article, I’ll show you how to program linear regression from scratch in Python using ONLY MATH. Let’s get started. Why is coding linear regression from scratch useful? When I study a new machine learning model, I always get…
What linear regression is Linear regression is a supervised machine-learning algorithm that fits a straight line to the input data to represent the relationship between x and y. Linear regression structure Suppose we have a dataset that contains two columns,…
In this article, we’ll learn how to program a decision tree from scratch in Python using ONLY MATH. Let’s get started. Why is building a decision tree from scratch useful? When I study a new machine learning model, I always…
In this article, I’ll show you how to program gradient descent in Python using ONLY MATH. In this way, I will help you understand how this algorithm works deep down. Let’s get started. Disclaimer I have already written an article…
The derivative of a function Suppose we have a graph representing the population of a village as a function of time.Let us take two time instants on the x-axis where the population is equal. Now I ask, when did people…
What a random forest is A random forest is an ensemble machine-learning model that combines the output of numerous decision trees trained on input data to make predictions. The theory behind a random forest: how it works Model main parameters…
What a decision tree is A decision tree is a non-parametric supervised machine learning model that predicts outputs by extracting various conditions from the data that an input may or may not meet. Decision tree structure The CART algorithm: how…
An algorithm is a detailed step-by-step set of instructions aimed at solving a problem. Algorithms are the beating heart of modern computing. Every time you perform a search on the Internet, send an email, watch an online video or shop…