Logistic Regression is another popular machine learning algorithm used for classification problems. It has various interesting concepts and tricky concepts. In this article, we will learn how logistic regression works, its hypothesis function, cost function, why linear regression cannot be used for classification problems, and other important concepts in detail. We have already covered Linear …
In this article, we will continue with descriptive statistics. The basic topics are already covered in Descriptive Statistics Part 1. This article will cover important topics like Normal Distribution, Central Limit Theorem, Outliers, and some plots like Box Plots. Normal Distribution A Random Variable (X) having mean () and standard deviation () is said to …
Statistics is the root of data analysis. It is a basic topic you should definitely learn if you are preparing for Data Science as it helps you to understand data and draw conclusions from it. I am starting this series where we will learn the statistics and probability required for data science. In this article, …
While training a model using any machine learning algorithm, the target is to get prediction results as close to actual values as possible. Today we will learn a popular algorithm that can be used to optimize a machine learning algorithm. What is Gradient Descent? It is not a machine learning algorithm but rather an optimization …
Gradient Descent Algorithm – Detailed Explanation Read More »