- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Supervised Learning QUIZ QUESTIONS
Question: 1
Which of the following evaluation metrics is commonly used for classification problems?
Question: 2
Which of the following evaluation metrics is commonly used for regression problems?
Question: 3
In the context of supervised learning, what is the purpose of a grid search?
Question: 4
Which of the following is a common method for feature scaling?
Question: 5
What is the purpose of one-hot encoding in supervised learning?
Question: 6
What is the role of a bias term in linear models, such as linear regression or logistic regression?
Question: 7
Which of the following is an example of an ensemble method?
Question: 8
What is the purpose of using a confusion matrix in classification problems?
Question: 9
What is the purpose of using feature scaling in supervised learning?
Question: 10
Which of the following is an example of a parametric supervised learning algorithm?
Question: 11
Which of the following is an example of a non-parametric supervised learning algorithm?
Question: 12
In the context of supervised learning, what is an ensemble method?
Question: 13
Which supervised learning algorithm is based on the concept of entropy and information gain?
Question: 14
Which supervised learning algorithm is based on the idea of maximizing the margin between classes?
Question: 15
What is the main difference between a parametric and a non-parametric supervised learning algorithm?
Question: 16
Which of the following is a common loss function for classification problems?
Question: 17
Which of the following is a common loss function for regression problems?
Question: 18
What is the purpose of regularization in supervised learning?
Question: 19
Which of the following is an example of regularization?
Question: 20
What is the role of a validation set in supervised learning?
Question: 21
What is underfitting in supervised learning?
Question: 22
Which of the following is a common method for splitting data into training and testing sets?
Question: 23
Which of the following is an example of a supervised learning algorithm?
Question: 24
What is the purpose of using a loss function in supervised learning?
Question: 25
What is supervised learning?
Question: 26
Which of the following is a supervised learning task?
Question: 27
What are the two main types of supervised learning problems?
Question: 28
What is the main goal of supervised learning?
Question: 29
In supervised learning, what is a label?
Question: 30
What is overfitting in supervised learning?