Dec 23, 2025 · 6 min read · Note: this post is part of a series of posts about Categorical Data Analysis: Dealing with Counts, Frequencies & Percentages When you are trying to analysing the relationship between 2 categorical var
Join discussionNov 14, 2025 · 1 min read · Categorical Data! The irritating data type which requires you to learn a whole new set of statistical tools — as it renders your traditional t-test, ANOVA, and regression models moot due to assumption
Join discussionJul 25, 2025 · 3 min read · Sometimes in your Laravel app, you need to create categories that can have subcategories. And those subcategories can also have more subcategories. This is called nested categories, and it can go to any level — 2, 3, 5, or even more. In this post, I ...
Join discussionMay 2, 2025 · 2 min read · enum - перечисляет ячейки, поддерживая двоичное дерево в var. Ключи неявно выводятся из перечисленных cnt, а результирующее дерево балансируется (независимо от порядка вставки). В первой форме возвращается соответствующая ячейка. Если она еще не суще...
Join discussionMar 2, 2025 · 2 min read · *Class - глобальная переменная, содержащая текущий класс. class - определяет sym как класс с суперклассом(ами) typ. В качестве побочного эффекта глобальная переменная *Class устанавливается в obj. https://picolisp.tiddlyhost.com/#class : (class +Test...
Join discussionSep 4, 2024 · 9 min read · Introduction Data cleaning is one of the most crucial aspects of the Machine learning lifecycle. It involves fixing erroneous, corrupted, duplicate, or incomplete data. It has been said that data scientists spend about 50%- 70% of their total project...
Join discussionAug 22, 2024 · 2 min read · There are two main types of categorical variables: nominal and ordinal. 1. Nominal Variables Definition:Nominal variables are categorical variables that have two or more categories, but there is no intrinsic ordering to these categories. The categori...
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Aug 23, 2024 · 2 min read · Categorical variables, also known as qualitative variables, are variables that represent data in distinct groups or categories. These categories are usually labels or names that describe different types or classes of items. Unlike numerical variables...
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Aug 12, 2024 · 4 min read · When working with machine learning models, one of the crucial steps in data preprocessing is encoding categorical variables. Categorical data, which represents categories or groups, needs to be converted into a numerical format that algorithms can pr...
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Apr 2, 2024 · 3 min read · Encoders are used to convert categorical data into a format that can be understood by machine learning algorithms. The choice of encoder depends on the nature of the categorical data and the specific requirements of the machine learning model. Here a...
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