15 to 30 random questions in 15 to 30 minutes, by the level you choose: regression, trees, svm, clustering, metrics, tuning and deployment. After you submit you get your score, your strong and weak topics, and the right answer with an explanation for every question.
Want to revise first? Read the Machine Learning interview questions and answers.
The test covers 13 topics across three levels. Each attempt picks 15 to 30 questions at random, by the level you choose, so every attempt is different.
One question from each level, the way they appear in the test. A new set comes on the 1st of every month. Try it, then open the answer.
actual = [50, 60, 80]
predicted = [55, 58, 71]Answer: 5.33. The absolute errors are 5, 2 and 9 lakh, so MAE = 16 / 3 = 5.33 lakh. 36.67 is the MSE (squares 25, 4 and 81 averaged), and MAE stays in the same unit as the target, which makes it easy to explain.
Answer: It needs SVC(probability=True). By default SVC gives only decision_function scores. With probability=True it fits Platt scaling with internal cross-validation, which makes fit slower and the probabilities may not match predict exactly.
Answer: L1 zeroes noise weights; KNN uses every feature. Lasso learns a weight per feature and can set useless ones to exactly 0. KNN has no weights: every noise column adds random distance and blurs who the real neighbours are.
Take the full Machine Learning mock test: 15 to 30 questions and 15 to 30 minutes, by level.
A question counts as right only when you pick exactly the right option, or all the right options where it says so; a question left blank counts as wrong. Your score is the share of the test's questions you got right (15 to 30, by level). The result also scores every topic, so you know what to revise before the interview.
Yes. The Machine Learning mock test is free. You need a free CoreHRx Jobs account to start it, so your score and the topics to work on are saved.
It depends on the level: Fresher has 15 questions in 15 minutes, Intermediate has 20 questions in 20 minutes, Experienced has 30 questions in 30 minutes. They are multiple-choice questions picked at random from a larger bank of Machine Learning questions at your level, so every attempt is different.
The questions cover Decision Trees and Ensembles, Evaluation Metrics, Cross-Validation and Tuning, Feature Engineering, Clustering and PCA, Linear Regression, Logistic Regression and Classification, Overfitting and Regularization, SVM and KNN, ML in Production, Imbalanced Data, Neural Network Basics, ML Basics. Your result shows how you did in each topic.
Fresher if you are a student or have less than a year of experience, Intermediate for 1 to 5 years at work, and Experienced for 5 years or more.
Only your best Machine Learning score, and only when it is 60% or more. It shows on the job applications you send on CoreHRx. Lower scores stay private.
Yes, up to 10 tests a day. Each attempt picks questions you have not seen recently first.