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# Statistics

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### What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

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 …

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### Build Better and Accurate Clusters with Gaussian Mixture Models

Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also …

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### A Data Scientist’s Guide to 8 Types of Sampling Techniques

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

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### Everything you Should Know about p-value from Scratch for Data Science

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 …

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### A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

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

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### 11 Important Model Evaluation Metrics for Machine Learning Everyone should know

Overview Evaluating a model is a core part of building an effective machine learning model There are several evaluation metrics, like confusion matrix, cross-validation, …

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### Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings!

Overview Curious how the big product companies like Amazon, Walmart, AirBnb, etc. manage the ratings we see? The core idea behind these ratings systems …

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### An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals

Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …

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### Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …

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### Statistics for Data Science: Introduction to the Central Limit Theorem (with implementation in R)

What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!