statistics

Introduction One of the most basic concepts in statistics is hypothesis testing. Not just in Data Science, Hypothesis testing is important in every field. …

Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, and why it’s …

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference between Z-test and t-test, …

Introduction Multicollinearity might be a handful to pronounce but it’s a topic you should be aware of in the machine learning field. I am …

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation …

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should …

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including …

Overview Sampling is a popular statistical concept – learn how it works in this article We will also talk about eight different types of …

Overview What is p-value? Where is it used in data science? And how can we calculate it? We answer all these questions and more …

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at …