Topic
Machine Learning problems
59 problems: 22 easy, 30 medium, 7 hard.
Easy (22)
- Sigmoid Activation
- ReLU Activation
- Accuracy Score
- Euclidean Distance
- Manhattan Distance
- Vector Dot Product
- Min-Max Normalization
- Z-Score Standardization
- One-Hot Encoding
- Jaccard Similarity
- Tanh Activation
- Leaky ReLU
- Softplus Activation
- Sigmoid Derivative
- ReLU Derivative
- Log-Softmax
- L2 Normalize
- L1 Normalize
- Max-Abs Scale
- Clip Values
- Binarize
- Chebyshev Distance
Medium (30)
- Softmax
- Mean Squared Error
- Mean Absolute Error
- Root Mean Squared Error
- R-Squared Score
- Precision Score
- Recall Score
- F1 Score
- Binary Confusion Matrix
- Cosine Similarity
- Binary Cross-Entropy Loss
- Gini Impurity
- Shannon Entropy
- k-Nearest Neighbors
- K-Means Assignment Step
- Simple Linear Regression
- Logistic Regression Prediction
- Minkowski Distance
- RBF Kernel
- Hinge Loss
- Huber Loss
- Categorical Cross-Entropy
- KL Divergence
- Matthews Correlation Coefficient
- Specificity
- Balanced Accuracy
- Top-K Accuracy
- Linear Regression Prediction
- Gradient Descent Step
- Max Pooling 1D