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Workflow Element Store
- Feature Extraction from Images
- Time-Based Features
- Binning / Discretization
- Auto-Preprocessing libraries
- Dimensionality Reduction
- Data Partitioning - Train, Validation, & Test
- Annotation
- Dealing with Outliers
- Handling Noisy Data
- Handling Time-Series Data
- Data Scaling and Normalization
- Feature Selection
- Handling Categorical Data
- Polynomial Features
- Handling Imbalanced Classes
- AutoEDA libraries
- Interaction Features
- Augmentation
- Textual Feature Extraction
- Handling Missing Data
- Data Transformations
- Domain-Specific Feature Engineering
- Learning Rate Scheduling
- Regularization Techniques
- Batch Size Selection
- Early Stopping
- Cross-Validation
- Clustering
- Weight Initialization
- Regression Analysis
- Hyperparameter Tuning
- Binary Classification Techniques
- Performance Visualization
- Model Comparison
- Forecasting Techniques
- Transfer Learning
- Ensemble Techniques
- External Validation
- Batch Normalization
- AutoML
- GridSearchCV, RandomisedSearchCV, BayesianSearchCV
- Network Analytics/ GeoSpatial Analytics
- Regular Monitoring and Logging
- Model Interpretability
- Data Augmentation
- Multiclass Classification Techniques
- Association Rules
- Cross-Validation
- Evaluation Metrics
- Transfer Learning
- Natural Language Processing
- Blackbox - Neural Network Models
- Regularization
- Reinforcement Learning
- Recommendation Engine
- Word Embeddings
- Datawarehouse
- Kafka Brokers
- model registry
- Evidently.ai
- Data Preprocessing pipeline models
- Databases
- code repository
- Github Actions
- Apache Airflow
- Github
Data Sources
Streaming Data
Batch Data
Cloud Storage
Labeled Data
Feature Engineering Pipeline
Experimentation
ML Model
Repository
CI/CD component
Continuous integration/Continuous delivery
Continuous deployment
Artifact Store
Feature Store System
Orchestration Component
Artifact Store
CI/CD Component
Scheduler
Workflow orchestration component
Automation ML Workflow Pipeline
Monitoring Component
Model serving component
(Prediction on new batch or streaming data)