Introduction to SVM Support Vector Machine (SVM) is a type of supervised machine learning algorithm used primarily for classification tasks though it can also be used for regression. It works by finding a decision boundary called a hyperplane that best separates the data into different classes. Think of it as a smart line-drawer that aims … Read more

What is a Decision Tree in Machine Learning? A Decision Tree in Machine Learning is a popular predictive model that makes decisions by asking a series of yes-or-no questions. It works like a flowchart, where each internal node represents a decision based on a specific feature, each branch corresponds to an outcome of the decision, … Read more

Random Forest Regression If you’ve ever wondered how to make better predictions from complex data, Random Forest Regression might just be your new best friend. It’s a powerful machine learning algorithm used to predict continuous values (like house prices, stock values, or sales forecasts) and it does this by building not one, but many decision … Read more

What is Logistic Regression? Ever wondered how Netflix decides whether to recommend you a movie? Or how an email app figures out what’s spam? Behind the scenes, a simple but powerful algorithm called Logistic Regression often plays a key role. Despite the fancy name, Logistic Regression isn’t about predicting prices or numbers. Instead, it’s used … Read more

What is Linear Regression? Imagine you’re running a small chai shop, and you start noticing something: The more hours your shop stays open, the more cups of chai you sell. Now you start wondering: “Can I predict how many cups I’ll sell if I keep the shop open for, say, 10 hours?” This is where … Read more