Interview Q&A / Machine Learning
Machine Learning interview questions
Supervised vs unsupervised learning, overfitting, metrics and the classic models, explained simply.
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- What is the difference between linear regression and logistic regression?
Linear regression predicts a continuous number, like a house price, by fitting a straight line. Logistic regression predicts the probability of a class, like spam or not spam, by passing a linear score through the sigmoid function so the output stays between 0 and 1.
BeginnerIn-depth4 min read - How does logistic regression turn a score into a probability?
It computes a linear score z = w.x + b and passes it through the sigmoid 1/(1+e^-z), which squashes any number into 0 to 1. A threshold, usually 0.5, then converts the probability into a class.
BeginnerQuick answer1 min read