Unveiling the Magic of Supervised Learning
What is Supervised Learning?
Imagine you're teaching your pet to recognize friends. You show them pictures saying, "This is Sam," and "This is Jam." Over time, your pet learns to identify Sam and Jam without your help. In the tech world, this is what we call supervised learning – teaching a computer to make predictions by showing it labelled examples.
Types of Supervised Learning:
There are two main types to know about:
1.Classification: Sorting Stuff Like a Pro
Okay, picture this: you have a virtual helper that can tell if an email is spam or not. That's classification – teaching your computer to sort things into different groups based on what it knows. It's like having a buddy who can recognize cats from dogs in pictures or figure out if a review is positive or negative. Super handy, right?
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Algorithm used: Logistic Regression, Na?ve Bayes, Support Vector Machines (SVM), etc..
2.Regression: Predicting Numbers, Future-Style
Now, let's talk about predicting the future – well, sort of. Regression is like having a crystal ball for numbers. If you're guessing the price of a house based on features like rooms and location, that's regression. It works wonders for things like guessing stock prices or figuring out how many ice creams you'll sell on a hot day.
Algorithm used : Linear Regression, Decision Trees, Random Forests, etc..
Applications in Real Life:
Supervised learning is like giving your computer a personal tutor. It learns from labelled examples, making it super handy for predictions. Today, we explored the types, key features, and real-life applications. Stay tuned for more AI adventures! ?? #AIExploration #SupervisedLearningMagic
Intern@Payoda | ML Engineer & Data Science Enthusiast | Transforming Data into Insights for Impact
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