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Workflow Element Store
- Mobile Applications or IoT Applications
- Surveys and Questionnaires
- WebScraping
- Data Collaboration and Partnerships
- Data Pre-existing
- Unstructured data (Images / Videos)
- APIs and Data Feeds
- Structured Data (Tabular)
- Unstructured data (Audio)
- Crowdsourcing
- Data Logging
- Public Datasets
- Data Generation
- RDBMS
- Azure Data Warehouse
- Informatica
- MySQL
- MS SQL server
- Azure blob storage
- GCS
- PostgreSQL
- NoSQL DB
- S3
- AWS Redshift
- GCP BigQuery
- Oracle DB
- Interaction Features
- Feature Selection
- Logarithmic Transform
- Dealing with Outliers
- Handling Imbalanced Classes
- Handling Time-Series Data
- Domain-Specific Feature Engineering
- Binning
- Encoding Categorical Variables
- Handling Missing Data
- Handling Categorical Data
- Polynomial Features
- Textual Feature Extraction
- Handling Noisy Data
- Dimensionality Reduction
- Data Scaling and Normalization
- Data Scaling and Normalization
- Auto-Preprocessing libraries
- Time-Based Features
- Dimensionality Reduction
- AutoEDA libraries
- Feature Extraction from Images
- Supervised Learning-multiclass classification
- Train-Test Split
- Supervised Learning-Regression
- Ensemble Techniques
- Unsupervised Learning
- Supervised Learning-binary classification
- Time Series Anaysis
- Blackbox Techniques
- Data Partitioning
- Forecasting
- Hyperparameter Tuning
- Batch Normalization
- Batch Size Selection
- Data Augmentation
- Ensemble Methods
- Early Stopping
- Learning Rate Scheduling
- Transfer Learning
- Data Partition-sequential
- Gradient Clipping
- Regularization
- Train-Test Split
- Weight Initialization
- Regular Monitoring and Logging
- Cross-Validation
- Regularization Techniques
- Cross-Validation
- Data Partitioning
- Hyperparameter Tuning
- Train-Test Split
- Model Interpretability
- Evaluation Metrics
- External Validation
- Performance Visualization
- Model Comparison
- Model Retraining and Updating
- Security Considerations
- Performance Metrics
- Containerization
- Model Registry
- Data Drift Monitoring
- Model Serialization
- Documentation and Reporting
- Streamlit
- Model Drift
- Concept Drift Detection
- Model Health Monitoring
- A/B Testing
- Bias and Fairness Assessment
- Feedback Collection
- Cloud Deployment
- Prediction Logging
- Monitoring and Logging
- Continuous Integration and Deployment (CI/CD)
- Web APIs - Flask, FastAPI, etc.
- Model Monitoring and Maintenance
- Alerting and Notification
- Documentation and API Documentation
- Edge Deployment
- Serverless Computing
- Model Versioning
- Error Analysis
- Mobile
- End User Machine