### Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we …

Home Archive by Category "Statistics"

Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we …

Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of …

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

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 …

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, …

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

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

Download

Download