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AI & Analytics Engine Concepts
Build from Scratch: Classification and Regression guide
Predictive Modeling: Train your own machine-learning model & make predictions
Build with a Machine Learning Template
Customer Churn Prediction
How-to Guides
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Project
Dataset
Data Analysis
Recipe
App
Feature Set
Training Models
Model Performance
Model Explainability
Batch Prediction
Deploying Models
Activity Log
Video guides
AI & Analytics Engine Concepts
Project
Data
Recipe
App
Machine Learning Problem Type
Feature Set
Train/Test Split (Classification & Regression)
Model
Model Performance (Classification & Regression)
Model Insights
Prediction
Deployment
Administration & Billing
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Community & Support
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AI & Analytics Engine Release Notes
2021
2022
2023
API and SDK Documentation
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The AI & Analytics Engine Knowledge Hub
AI & Analytics Engine Concepts
Build from Scratch: Classification and Regression guide
Predictive Modeling: Train your own machine-learning model & make predictions
Build with a Machine Learning Template
Customer Churn Prediction
How-to Guides
Get help and support
Project
Dataset
Data Analysis
Recipe
App
Feature Set
Training Models
Model Performance
Model Explainability
Batch Prediction
Deploying Models
Activity Log
Video guides
AI & Analytics Engine Concepts
Project
Data
Recipe
App
Machine Learning Problem Type
Feature Set
Train/Test Split (Classification & Regression)
Model
Model Performance (Classification & Regression)
Model Insights
Prediction
Deployment
Administration & Billing
User Accounts
Organizations
Plans & Billing
Community & Support
Contact the Team at PI.EXCHANGE
Join the PI.EXCHANGE Community
FAQ's
AI & Analytics Engine Release Notes
2021
2022
2023
API and SDK Documentation
AI & Analytics Engine Concepts
Demystifying the Engine's features, concepts, and ML pipeline.
Project
What is a project?
What are project roles?
Data
What data sources are supported by the Engine?
What are the requirements for dataset column names in the Engine?
What are column datatypes in the Engine?
What is a machine learning-ready dataset?
What datasets are required to use the customer churn prediction template?
How does the Engine process data for the customer churn prediction template?
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Recipe
What is a recipe?
What are actions?
What are suggestions?
Why are some data processing actions not supported in the Recipe?
App
What is an application or an app?
What is a template?
What templates are supported on the Engine?
What does the customer churn prediction template provide?
What information is in the app overview of the customer churn prediction template?
When to use "build from scratch" vs a "template"?
What is "build from scratch"?
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Machine Learning Problem Type
What Machine Learning problems does the Engine tackle?
What is regression?
What is classification?
What is binary classification?
What is multiclass classification?
What is clustering?
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Feature Set
What is a Feature Set (classification and regression apps)?
What options are available to define churn within the customer churn prediction template?
What do "contributing factors" mean in the customer churn prediction template?
What features are generated after the Engine processes the data in a customer churn prediction app?
Train/Test Split (Classification & Regression)
What is the train/test split for classification and regression apps?
Model
What is a model template in the context of classification and regression?
What is a model template in the context of clustering?
What Machine Learning model templates are available?
What is model training?
What is Model overfitting?
What is Hyperparameter Search?
What is the Model Recommender?
What is the right approach for comparing and evaluating trained models?
How are the models evaluated in the customer churn prediction template?
How are the top algorithms automatically selected for the customer churn prediction template?
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Model Performance (Classification & Regression)
What is the Model Leaderboard?
What is Prediction Quality and how is it calculated for the different ML problem types?
Which metrics are used to evaluate a regression model's performance?
Which metrics are used to evaluate a binary classification model's performance?
What are ROC and PR Curves for binary classification
Which metrics are used to evaluate a multiclass classification model's performance?
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Model Insights
What is prediction explanation?
What are feature importance values?
What is What-If Analysis?
Prediction
What is Batch Prediction?
What are the options for predictions in the customer churn prediction template?
What does the prediction output from a customer churn prediction app contain?
Deployment
What does deploying a model mean?
