The statistical analysis t-test explained for beginners and experts

The statistical analysis t-test explained for beginners and experts

During the last months, I’ve probably run the t-test dozens of times but recently I realized that I did not fully understand some concepts such as why it is not possible to accept the null hypothesis or where the numbers in the t-tables come from. After doing some research, I found that several articles provide…

How Normalization Affects Random Forest Algorithm
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How Normalization Affects Random Forest Algorithm

  Recently, I was implementing a Random Forest regressor when I faced the classical question: Should I implement data normalization? Before going into the depth of the topic, we will try to understand what normalization is. Normalization The goal of normalization is to change the values of numeric columns in the dataset to a common…

Stratified normalization: Using additional information to improve the neural network’s performance.

A few months ago, I started researching how to classify evoked emotions using EEG recordings when I rapidly faced the most challenging problem when developing Brain Imaging Methods: the poor homogeneity of EEG activity across participants. This problem can be easily explained using Figure 1, where the plots were obtained by first extracting features for…

Central Limit Theorem, Z and t distribution.

After running several statistical tests to assess my models, I decided to dig deeper into the theory and ask myself questions such as “Why the number of samples is relevant for the statistical test?”, “Why the standard deviation has a square root in the denominator?” or “Why do statisticians differentiate between Z and t distribution…

Introduction to regression analysis:

Machine learning tasks can be gathered into the four following categories: This article focuses on regression analysis. Specifically, this article describes the basis of this task and illustrates its main concepts onto the California housing dataset. The structure of this article is the following: What is regression? Difference between regression and classification Types of regression:…

The statistical analysis t-test explained for beginners and experts | by Javier Fernandez | Towards Data Science

During the last months, I’ve probably run the t-test dozens of times but recently I realized that I did not fully understand some concepts such as why it is not possible to accept the null hypothesis or where the numbers in the t-tables come from. After doing some research, I found that several articles provide…