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Supervised Learning
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What are the advantages and disadvantages of Random Forest?
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What are the key hyperparameters for a Random Forest model?
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Explain the concept and working of the Random Forest model
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What is Bagging? How do you perform bagging and what are its advantages?
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What are the advantages and disadvantages of Decision Tree model?
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What is CART?
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How does pruning a tree work?
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Explain the concept of Linear Regression
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How does a decision tree create splits from continuous features?
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Explain the difference between Entropy, Gini, and Information Gain
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What is a Decision Tree? Explain the concept and working of a Decision tree model
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Regression vs. Classification
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What is Classification?
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What is Supervised Learning?
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Explore Questions by Topics
Computer Vision
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Data Preparation
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Feature Engineering
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Deep Learning
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Sequence models
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Transformers
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DL Basics
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DL Training and Optimization
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Generative AI
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Ensemble Learning
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Logistic Regression
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Linear Regression
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Other Questions in Supervised Learning
How does SVM adjust for classes that cannot be linearly separated?
What is Bi-Clustering? What are possible use cases of it?
How to perform Standardization in case of outliers?
What is a Multilayer Perceptron (MLP) or a Feedforward Neural Network (FNN)?
Distinguish between a Weak learner and a Strong Learner
What are the pros and cons of parametric vs. non-parametric models?