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