Akshay Kumarcoolguru.hashnode.dev·Apr 2, 2024Encode with Precision, Achieve Machine Learning VisionEncoders 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...Discusscategorical data
Monojit Sarkarmonojit13.hashnode.dev·Nov 30, 2023Handling Categorical VariablesHow does one train ML or AI algorithms when dataset contains categorical variables? Algorithms only understand numerical values. That's why there are techniques known as Label Encoding or One-Hot Encoding. I find the concept cool. One dummy data for ...Discuss·27 readscategorical data
Alfian Hanantioamalhanaja.hashnode.dev·Jul 5, 2023Introduction to Categorical DataIntroduction What does it mean to be "categorical"? Categorical Finite number of groups (or categories) These categories are usually fixed or known (gender, hair color, etc.) Numerical Known as qualitative data Expressed using a numerical value...Discuss·43 readsWorking with Categorical Data in PythonData Science
Rhythm Rawatrhythmblogs.hashnode.dev·Apr 24, 2023Everything you need to know about Categorical features in your datasetCategorical variables are an essential part of data analysis and machine learning models. They are a type of variable that takes on a limited number of values, which represent various characteristics of the data. In this article, we will discuss the ...Discuss·86 readsMachine Learning
Berk Hakbilenberk-hakbilen.hashnode.dev·Nov 13, 2022Dealing with Categorical Data: Encoding Features for ML AlgorithmsIn real life, the raw data recieved is rarely in the format which we can take and use direclty for our machine learning models. Therefore, some preprocessing is necessary to bring the data to the right format, select informative data or reduce its di...Discuss·99 readscategorical data