Machine Learning Interview Questions
💎 Skill Level
Beginner
Intermediate
Advanced
🔮 Supervised
Naive Bayes
Support Vector Machines
GB Decision Trees
Random Forest
Logistic Regression
Lasso / Ridge Regression
Linear Discriminant Analysis
Learning Vector Quantization
Anomaly Detection
Recurrent Neural Networks
🚦Classification
Logistic Regression
Naive Bayes
GB Decision Trees
Support Vector Machines
K-nearest Neighbors (coming soon)
🧵 Instance-based
Learning Vector Quantization
Support Vector Machines
Locally Weighted Learning
K-nearest Neighbors (coming soon)
Self-Organizing Map (coming soon)
🏆 Most Studied
Naive Bayes
K-Means
GB Decision Trees
Random Forest
Backpropagation
🕳 Unsupervised
DBSCAN
K-Means
Anomaly Detection
Recurrent Neural Networks
Association Rule Learning
Collaborative Filtering
🎗 Regularization
Ridge Regression
Least Absolute Shrinkage and Selection Operator
Elastic Net (coming soon)
Least-Angle Regression (coming soon)
🧠 Deep Learning
Recurrent Neural Networks
Long Short-Term Memory Networks
Auto-Encoders
Backpropagation
Gradient Descent
⚙️ Interactive
Interactive Quiz 1
Interactive Quiz 2
📈 Regression
Logistic Regression
Lasso / Ridge Regression
GB Decision Trees
Random Forest
Support Vector Machines
Recurrent Neural Networks
🫐 Clustering
K-Means
DBSCAN
Hierarchical Clustering
Agglomerative Clustering (coming soon)
🫥 Dimensionality Reduction
Principal Component Analysis
Linear Discriminant Analysis
Random Forest