Continuous vs Discrete Variables in the context of Machine Learning.
▻https://hackernoon.com/continuous-vs-discrete-variables-in-the-context-of-machine-learning-15d9
Let’s get into the topic fast. I know, you don’t have time. You have to learn other topics too. Okay! I hear you :)CONTINUOUS VARIABLEA continuous variable can take any values. Think of it like this: If that number in the variable can keep counting, then its a continuous variable.Ex: Weight of a person: 152.232 Kg, you’re probably thinking, “where am I counting?”. Yes, you are! The weight of the person is actually 152.232211223342211223332112244778899399947777889999888888377747666678788992336677……………………………………………………………………………………………………………………………………………………………………………………………………………………………………KgObviously, those dots aren’t ending anytime soon. Matter of fact, they’re not ending!Now you see how specifically that variable can “keep counting”? When I say “counting”, I’m referring to those counts after the decimal.That is an example for (...)
#predictive-analytics #continous-variable #discrete-variable #statistics #machine-learning