Showing posts with label Data Types. Show all posts
Showing posts with label Data Types. Show all posts

Discrete Data and Continuous Data

Discrete Data, as the name suggests, can take only specified values. For example, when you roll a die, the possible outcomes are 1, 2, 3, 4, 5 or 6 and not 1.5 or 2.45 or when you toss a coin, the possible outcomes are either head or tail.
Continuous Data can take any value within a given range. The range may be finite or infinite. For example, A girl’s weight or height, the length of the road. The weight of a girl can be any value from 54 kgs, or 54.5 kgs, or 54.5436kgs. It can be in Point or fractions.

7 Stages of Machine Learning - Framework Introduction

Framework Introduction 7 Stages Introduction Stage 1: Problem Definition Stage 2: Data Collection Stage 3: Data Preparation Stage 4: Data Vi...