Machine Learning | Deep Learning | Language Models
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Model Selection
Prompt Engineering
Generation Parameters
Output Evaluation
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Data Exploration
Data Imputation
Categorical Encoding
Feature Scaling
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Model Comparison
Cross Validation
Feature Selection
Model Tuning
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Track Experiment
Version Control
Compare Runs
Auto Reporting
View History
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Convert Notebook
Serve Endpoint
Create Container
Publish Model
User Interface
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We retrieve and process a structured dataset and, using an algorithm,
build and train a model for classification, regression or clustering.
This model is deployed to make further predictions on new data points.
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