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