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  • Account and Team Setup
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  • FAQ
  • UNDERSTANDING MACHINE LEARNING
    • What is Graphite Note
      • Graphite Note Insights Lifecycle
    • Introduction to Machine Learning
      • What is Machine Learning
      • Data Analitycs Maturity
    • Machine Learning concepts
      • Key Drivers
      • Confusion Matrix
      • Supervised vs Unsupervised ML
  • Demo datasets
    • Demo Datasets
      • Ads
      • Churn
      • CO2 Emission
      • Diamonds
      • eCommerce Orders
      • Housing Prices
      • Lead Scoring
      • Mall Customers
      • Marketing Mix
      • Car Sales
      • Store Item Demand
      • Upsell
    • What Dataset do I need for my use case?
      • Predict Cross Selling: Dataset
      • Predict Customer Churn: Dataset
      • Predictive Lead Scoring: Dataset
      • Predict Revenue : Dataset
      • Product Demand Forecast: Dataset
      • Predictive Ads Performance: Dataset
      • Media Mix Modeling (MMM): Dataset
      • Customer Lifetime Value Prediction : Dataset
      • RFM Customer Segmentation : Dataset
    • Dataset examples - from online sources
      • Free datasets for Machine Learning
  • Datasets
    • Introduction
    • Prepare your Data
      • Data Labeling
      • Expanding datasets
      • Merging datasets
      • CSV File creating and formatting
    • Data sources in Graphite Note
      • Import data from CSV file
        • Re-upload or append CSV
        • CSV upload troubleshooting tips
      • MySQL Connector
      • MariaDB Connector
      • PostgreSQL Connector
      • Redshift Connector
      • Big Query Connector
      • MS SQL Connector
      • Oracle Connector
  • Models
    • Introduction
    • Preprocessing Data
    • Machine Learning Models
      • Timeseries Forecast
      • Binary Classification
      • Multiclass Classification
      • Regression
      • General Segmentation
      • RFM Customer Segmentation
      • Customer Lifetime Value
      • Customer Cohort Analysis
      • ABC Pareto Analysis
      • New vs Returning Customers
    • Predict with ML Models
    • Overview and Model Health Check
    • Advanced parameters in ML Models
    • Actionable insights in ML Models
    • Improve your ML Models
  • Notebooks
    • What is Notebook?
    • My first Notebook
    • Data Visualization
  • REST API
    • API Introduction
    • Dataset API
      • Create
      • Fill
      • Complete
    • Prediction API
      • Request v1
        • Headers
        • Body
      • Request v2
        • Headers
        • Body
      • Response
      • Usage Notes
    • Model Results API
      • Request
        • Headers
        • Body
      • Response
      • Usage Notes
      • Code Examples
    • Model Info API
      • Request
        • Headers
        • Body
      • Response
      • Usage notes
      • Code Examples
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Last updated 1 year ago

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Welcome to the Graphite Note documentation portal. These guides will show you how to predict, visualize, and analyze your data using machine learning with no code. Graphite Note is a powerful tool designed to democratize the power of data analysis and machine learning, making it accessible to individuals and teams of all skill levels. Whether you're a marketer looking to segment your audience, a sales team predicting lead conversions, or an operations manager forecasting product demand, Graphite Note is your go-to platform.

The platform is built with a user-friendly interface that allows you to connect your data, generate predictive models, and share your results with just a few clicks. It's not just about making predictions; it's about understanding them. With Graphite Note's built-in prescriptive analytics and data storytelling feature, you can transform complex data into meaningful narratives that drive strategic actions. This documentation will guide you through every step of the process, from setting up your account to making your first prediction. So let's dive in and start exploring the power of no-code machine learning with Graphite Note.

For every lexical terms you can check on the .

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machine learning glossary