The AI & Analytics Engine Knowledge Hub
Go to pi.exchange
Get Support
Video guides
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
Back to home
The AI & Analytics Engine Knowledge Hub
How-to Guides
Video guides
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
Transform and Download your Dataset with the Engine
This video demonstrates how you can use the Engine to transform and download your dataset in a few different file formats, including CSV, JSON Lines, or Parquet.
