Day-15 of 180 Machine Learning challenges |dataset | type of data in dataset in 2024 #mlwithakansha
20 Jan 2024 · 1 min
0:58
In this Hindi instructional segment, the presenter explains the foundational role of data in machine learning and describes the most common way datasets are stored: as CSV (Comma‑Separated Values) files. She then outlines the three primary data types encountered in such tabular datasets. First, numerical data—continuous or discrete values such as house prices. Second, categorical data—columns that contain a limited set of distinct labels (e.g., yes/no, gender). Third, ordinal data—variables that have a natural order but not a fixed numeric distance, illustrated with education levels (10th, 12th, Masters). The talk emphasizes that recognizing these types is essential for preprocessing and model selection.
