In the vast landscape of data science, Exploratory Data Analysis (EDA) emerges as a beacon, guiding practitioners through the intricate journey of understanding their datasets. This article delves into...
Kullback-Leibler (KL) divergence, also known as relative entropy, is a measure of how one probability distribution diverges from another. It is commonly used in information theory and statistics to...
In this article we will try to understand different types of probability distribution curves in statistics written by our Student Revathi. If you are an aspiring data scientist you...
Statistics is a critical milestone to comprehend data science. In this article, we will discuss the difference between continuous and discrete probability distribution written by our student Jeeva as...
This article gives a basic overview of one of the most popular machine learning algorithms. But before jumping into the article, if you are an aspiring data scientist don’t...
This article will give an intro to basic data visualization and its importance in the field of data science. This article is part of our students’ knowledge share program...
In this article, we will see the importance of mathematics in data science and also a few resources from where one can master mathematics fundamentals and apply them to...
In this series of articles, we will try to understand the importance and impact of different topics in data science. In this article, we will see the importance of...
Who is considered freshers in data science? Students with 0 to 1 year of experience will be considered freshers in the data science world. Internship experience can help you...
Data science is a popular course among working professionals and engineering students. In this article, we are going to discuss the prerequisites before joining professional data science courses. Questions...