ML
ML Practical Modeling Sheet
Machine-learning practice grouped around metrics, preprocessing, leakage, classical models, deep learning, and CV basics.
Metrics, Evaluation & Validation
15 problems#0010
Build a Confusion Matrixclassificationmetricsevaluation
Easy10 XP#0013Stable Softmaxsoftmaxclassificationnumerical-stability
Medium15 XP#0014Binary Cross Entropy Lossloss-functionsclassificationlog-loss
Medium15 XP#0015Precision, Recall, and F1classificationmetricsimbalanced-data
Medium15 XP#0020Binary Cross Entropy From Probabilitiesdeep-learningloss-functionsclassification
Medium15 XP#0059Deterministic Train-Test Split Indicessplittingevaluationrandomness
Medium20 XP#0078Detect Suspicious Leakage Columnsleakagevalidation
Easy15 XP#0079MAE and RMSEmetricsregression
Easy15 XP#0104TPR and FPR From Countsmetricsclassification
Easy10 XP#0120Threshold Probabilitiesclassificationthresholds
Easy10 XP#0139Majority Class Baseline Accuracybaselineclassification
Easy10 XP#0156Check Stratified Split Countsevaluationclassificationsplits
Medium20 XP#0187Mean Absolute Errormetricsregression
Easy10 XP#0203Binary Confusion Matrixmetricsclassification
Medium20 XP#0204Train/Test Split by Timevalidationtime seriesleakage
Medium20 XPPreprocessing, Encoding & Leakage
10 problems#0077
One-Hot Encode a Categorical Columnfeature-encodingcategorical-data
Medium20 XP#0078Detect Suspicious Leakage Columnsleakagevalidation
Easy15 XP#0080L2 Regularized Lossregularizationloss
Medium20 XP#0105Fit and Apply Standard Scalerpreprocessingscaling
Medium20 XP#0121Label Encode Train and Testencodingcategorical-data
Medium20 XP#0138Min-Max Scale Train and Testpreprocessingleakage
Medium20 XP#0157Compute Ridge Penalty Termregularizationlinear models
Easy10 XP#0172Label Encode Train and Test Safelyencodingpreprocessing
Medium20 XP#0188Remove Leakage Featuresleakagefeature engineering
Medium20 XP#0204Train/Test Split by Timevalidationtime seriesleakage
Medium20 XPModel Internals & Loss Functions
9 problems#0011
One Step of Gradient Descentoptimizationgradient-descentlinear-regression
Medium15 XP#0012Sigmoid Converts Scores To Probabilitieslogistic-regressionsigmoidprobability
Easy10 XP#0013Stable Softmaxsoftmaxclassificationnumerical-stability
Medium15 XP#0014Binary Cross Entropy Lossloss-functionsclassificationlog-loss
Medium15 XP#0016Assign Points To Nearest Centroidk-meansclusteringdistances
Medium15 XP#0020Binary Cross Entropy From Probabilitiesdeep-learningloss-functionsclassification
Medium15 XP#0079MAE and RMSEmetricsregression
Easy15 XP#0080L2 Regularized Lossregularizationloss
Medium20 XP#0187Mean Absolute Errormetricsregression
Easy10 XPDeep Learning & Computer Vision
8 problems#0017
ReLU Forward Passdeep-learningactivation-functionsnumpy
Easy10 XP#0018Dense Layer Forward Passdeep-learningmatrix-multiplicationnumpy
Medium15 XP#0019Convolution Output Sizedeep-learningcnnconvolution
Medium15 XP#0020Binary Cross Entropy From Probabilitiesdeep-learningloss-functionsclassification
Medium15 XP#0021Convert RGB Image To Grayscalecomputer-visionimage-processingnumpy
Easy10 XP#0022Resize Image With Nearest Neighborcomputer-visionresizingnumpy
Medium15 XP#0023Bounding Box IoUcomputer-visionobject-detectioniou
Medium15 XP#0024CNN Output Volume Shapecomputer-visioncnnshape-reasoning
Medium15 XP