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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 12,457–12,480 of 12,629 skills
- Survival AnalysisAnalyze time-to-event data, calculate survival probabilities, and compare groups using Kaplan-Meier and Cox proportional hazards modelsVotes: 0GitHub stars: 327
- Statistical Hypothesis TestingConduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testingVotes: 0GitHub stars: 327
- Recommendation SystemBuild collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagementVotes: 0GitHub stars: 327
- Recommendation EngineBuild recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approachesVotes: 0GitHub stars: 327
- Model MonitoringMonitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflowVotes: 0GitHub stars: 327
- Model Hyperparameter TuningOptimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and HyperoptVotes: 0GitHub stars: 327
- Ml Model TrainingBuild and train machine learning models using scikit-learn, PyTorch, and TensorFlow for classification, regression, and clustering tasksVotes: 0GitHub stars: 327
- Ml Model ExplanationInterpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainabilityVotes: 0GitHub stars: 327
- Feature EngineeringCreate and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretabilityVotes: 0GitHub stars: 327
- Exploratory Data AnalysisDiscover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis, data profiling, and initial insightsVotes: 0GitHub stars: 327
- Dimensionality ReductionReduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiencyVotes: 0GitHub stars: 327
- Data VisualizationCreate effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholdersVotes: 0GitHub stars: 327
- Correlation AnalysisMeasure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detectionVotes: 0GitHub stars: 327
- Anomaly DetectionIdentify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoringVotes: 0GitHub stars: 327
- Variance AnalysisUse to attribute forecast vs actual deltas and recommend remediationVotes: 0GitHub stars: 396
- Forecast ModelingUse when designing, tuning, or auditing revenue forecast models.Votes: 0GitHub stars: 396
- Cohort AnalysisStandard method for slicing bookings, pipeline, and retention cohortsVotes: 0GitHub stars: 396
- Partner Ecosystem MapVisualization toolkit for mapping partner landscape, coverage, and priorities.Votes: 0GitHub stars: 396
- Market Scenario ModelerToolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-readyVotes: 0GitHub stars: 396
- Signal ScoringUse to design composite intent scoring models with decay, weighting,Votes: 0GitHub stars: 396
- Retention Ltv PlaybookLifecycle frameworks for driving repeat purchase, loyalty, and subscriptionVotes: 0GitHub stars: 396
- Provider ScorecardUse to track enrichment provider success, cost, latency, and qualityVotes: 0GitHub stars: 396
- Firmographic AnalysisUse when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.Votes: 0GitHub stars: 396
- Customer InsightsUse when consolidating product usage, health, and sentiment signals forVotes: 0GitHub stars: 396