Dataset in machine learning

Dataset:-     

                 A dataset is a collection of data in which data is arranged in some order. A dataset can contain any data from a series of an array to a database table.

Types of dataset:-

                     

 (1). Numeric data:- such as house price, temprature etc.

(2). Categorical data:- such as yes/no, true/false, blue/green etc.

(3). Ordinal data:- these data are similar to categorical data but can be measured on the basis of comparison.

Need of dataset:- 

                                To work with machine learning projects, we need a huge amount of data, one can not train machine learning/artificial intelligence models. Collecting and preparing the dataset is one of the most crucial parts while creating an machine learning/artificial intelligence project.

             The technology applied behind any machine learning projects cannot work properly if the dataset is not well prepared and pre-processed.