# Graphite Note Documentation

## Graphite Note Documentation

- [Welcome](https://docs.graphite-note.com/graphite-note-documentation/welcome.md)
- [Sign up](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/sign-up.md)
- [Subscription Plans](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/subscription-plans.md)
- [Profile information](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/profile-information.md)
- [Account information](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/account-information.md)
- [Roles](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/roles.md)
- [Users](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/users.md)
- [Tags](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/tags.md)
- [Logs](https://docs.graphite-note.com/graphite-note-documentation/account-and-team-setup/logs.md)
- [FAQ](https://docs.graphite-note.com/graphite-note-documentation/faq.md): This page contains the most Frequently Asked Questions
- [What is Graphite Note?](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/what-is-graphite-note.md)
- [Graphite Note Insights Lifecycle](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/what-is-graphite-note/graphite-note-insights-lifecycle.md): No-code, Automated Machine Learning for Data Analytics Teams
- [Introduction to Machine Learning](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/introduction-to-machine-learning.md)
- [What is Machine Learning](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/introduction-to-machine-learning/what-is-machine-learning.md)
- [Data Analitycs Maturity](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/introduction-to-machine-learning/data-analitycs-maturity.md): From Business Intelligence (BI) to Artificial Intelligence (AI)
- [Machine Learning Workflow](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/introduction-to-machine-learning/machine-learning-workflow.md)
- [Machine Learning concepts](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts.md)
- [Key Drivers](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/key-drivers.md)
- [Confusion Matrix](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/confusion-matrix.md)
- [Supervised vs Unsupervised ML](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/supervised-vs-unsupervised-ml.md)
- [Exploratory Data Analysis (EDA)](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/exploratory-data-analysis-eda.md)
- [Numerical vs Categorical Features](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/numerical-vs-categorical-features.md)
- [Outliers and Data Quality Checks](https://docs.graphite-note.com/graphite-note-documentation/understanding-machine-learning/machine-learning-concepts/outliers-and-data-quality-checks.md)
- [Demo Datasets](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets.md)
- [Ads](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/ads.md): Create a Regression model on Demo Ads dataset
- [Churn](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/churn.md): Create Binary Classification model on Demo Churn dataset.
- [CO2 Emission](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/co2-emission.md): Create Regression model on Demo CO2 Emission dataset
- [Diamonds](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/diamonds.md): Create Multi-Class Classification model on Demo Diamonds dataset
- [eCommerce Orders](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/ecommerce-orders.md): Create RFM Customer Segmentation on Demo eCommerce Orders dataset
- [Housing Prices](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/housing-prices.md): Create a Regression model on Demo Housing Prices dataset
- [Lead Scoring](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/lead-scoring.md): Binary Classification Model on Demo Lead Scoring dataset.
- [Mall Customers](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/mall-customers.md): Create General Segmentation on Demo Mall Customers dataset
- [Marketing Mix](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/marketing-mix.md): Create a Regression model on Demo Marketing Mix dataset
- [Car Sales](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/car-sales.md): Create Timeseries on Demo monthly car sales dataset
- [Store Item Demand](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/store-item-demand.md): Create a Regression model on Demo Store Item Demand dataset
- [Upsell](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/demo-datasets/upsell.md): Create Binary Classification model on Demo Upsell dataset
- [What Dataset do I need for my use case?](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case.md)
- [Predict Cross Selling: Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/predict-cross-selling-dataset.md)
- [Predict Customer Churn: Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/predict-customer-churn-dataset.md)
- [Predictive Lead Scoring: Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/predictive-lead-scoring-dataset.md)
- [Predict Revenue : Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/predict-revenue-dataset.md)
- [Product Demand Forecast: Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/product-demand-forecast-dataset.md)
- [Predictive Ads Performance: Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/predictive-ads-performance-dataset.md)
- [Media Mix Modeling (MMM): Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/media-mix-modeling-mmm-dataset.md)
- [Customer Lifetime Value Prediction : Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/customer-lifetime-value-prediction-dataset.md)
- [RFM Customer Segmentation : Dataset](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/what-dataset-do-i-need-for-my-use-case/rfm-customer-segmentation-dataset.md)
- [Dataset examples - from online sources](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/dataset-examples-from-online-sources.md)
- [Free datasets for Machine Learning](https://docs.graphite-note.com/graphite-note-documentation/demo-datasets/dataset-examples-from-online-sources/free-datasets-for-machine-learning.md)
- [Introduction](https://docs.graphite-note.com/graphite-note-documentation/datasets/introduction.md)
- [Data sources](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources.md)
- [Import data from CSV file](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/import-data-from-csv-file.md)
- [Re-upload or append CSV](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/import-data-from-csv-file/re-upload-or-append-csv.md)
- [CSV upload troubleshooting tips](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/import-data-from-csv-file/csv-upload-troubleshooting-tips.md): If you’re experiencing problems when uploading CSV files to Graphite Note, this page provides a concise list of common issues and recommended solutions.
- [MySQL Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/mysql-connector.md)
- [MariaDB Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/mariadb-connector.md)
- [PostgreSQL Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/postgresql-connector.md)
- [Redshift Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/redshift-connector.md)
- [Big Query Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/big-query-connector.md)
- [MS SQL Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/ms-sql-connector.md)
- [Oracle Connector](https://docs.graphite-note.com/graphite-note-documentation/datasets/data-sources/oracle-connector.md)
- [Prepare your Data](https://docs.graphite-note.com/graphite-note-documentation/datasets/prepare-your-data.md): data prep
- [Data Labeling](https://docs.graphite-note.com/graphite-note-documentation/datasets/prepare-your-data/data-labeling.md)
- [Expanding datasets](https://docs.graphite-note.com/graphite-note-documentation/datasets/prepare-your-data/expanding-datasets.md)
- [Merging datasets](https://docs.graphite-note.com/graphite-note-documentation/datasets/prepare-your-data/merging-datasets.md): This section of the Graphite Note user documentation will guide you through the process of merging multiple datasets into one.
- [CSV File creating and formatting](https://docs.graphite-note.com/graphite-note-documentation/datasets/prepare-your-data/csv-file-creating-and-formatting.md): This page outlines best practices for preparing CSV files that can be easily parsed and imported into Graphite Note.
- [Introduction](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/introduction.md)
- [Preprocessing Data](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/preprocessing-data.md)
- [Machine Learning Models](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models.md)
- [Timeseries Forecast](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/timeseries-forecast.md)
- [Binary Classification](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/binary-classification.md)
- [Multiclass Classification](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/multiclass-classification.md)
- [Regression](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/regression.md)
- [General Segmentation](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/general-segmentation.md)
- [RFM Customer Segmentation](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/rfm-customer-segmentation.md)
- [Customer Lifetime Value](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/customer-lifetime-value.md)
- [Customer Cohort Analysis](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/customer-cohort-analysis.md)
- [ABC Pareto Analysis](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/abc-pareto-analysis.md)
- [New vs Returning Customers](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/new-vs-returning-customers.md)
- [Basket Analysis](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/machine-learning-models/basket-analysis.md)
- [Advanced ML model settings](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings.md)
- [Actionable insights](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/actionable-insights.md)
- [Advanced parameters](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/advanced-parameters.md)
- [Model Overview](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/model-overview.md): This documentation page explains the Model Overview in Graphite Note, including key performance metrics, health checks, and suggestions to improve dataset quality.
- [Regressors](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors.md)
- [Regressors in action](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors/regressors-in-action.md)
- [Frequency alignment](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors/frequency-alignment.md)
- [Model execution logs](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/model-execution-logs.md)
- [Improve your ML Models](https://docs.graphite-note.com/graphite-note-documentation/graphite-note-models/improve-your-ml-models.md)
- [What is Notebook?](https://docs.graphite-note.com/graphite-note-documentation/notebooks/what-is-notebook.md)
- [My first Notebook](https://docs.graphite-note.com/graphite-note-documentation/notebooks/my-first-notebook.md)
- [Data Visualization](https://docs.graphite-note.com/graphite-note-documentation/notebooks/data-visualization.md)
- [Notebook Settings](https://docs.graphite-note.com/graphite-note-documentation/notebooks/notebook-settings.md)
- [API Introduction](https://docs.graphite-note.com/graphite-note-documentation/rest-api/api-introduction.md)
- [Dataset API](https://docs.graphite-note.com/graphite-note-documentation/rest-api/dataset-api.md)
- [Create](https://docs.graphite-note.com/graphite-note-documentation/rest-api/dataset-api/create.md)
- [Fill](https://docs.graphite-note.com/graphite-note-documentation/rest-api/dataset-api/fill.md)
- [Complete](https://docs.graphite-note.com/graphite-note-documentation/rest-api/dataset-api/complete.md)
- [Prediction API](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api.md)
- [Request v1](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v1.md): Necessary information to make a request to an API endpoint for the Graphite Note application
- [Headers](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v1/headers.md)
- [Body](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v1/body.md): JSON request structures for various models
- [Request v2](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v2.md)
- [Headers](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v2/headers.md)
- [Body](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-v2/body.md): JSON request structures for various models
- [Request (Timeseries)](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-timeseries.md)
- [Python Example — Forecasting Multiple SKUs](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/request-timeseries/python-example-forecasting-multiple-skus.md)
- [Response](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/response.md): Receiving a response
- [Usage Notes](https://docs.graphite-note.com/graphite-note-documentation/rest-api/prediction-api/usage-notes.md)
- [Model Results API](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api.md)
- [Request](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/request.md)
- [Headers](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/request/headers.md)
- [Body](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/request/body.md)
- [Response](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/response.md)
- [Usage Notes](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/usage-notes.md)
- [Code Examples](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-results-api/code-examples.md): This page provides practical examples for interacting with the Model Results API using both Python and PHP. The Model Results API allows you to retrieve paginated outputs from your Graphite Note model
- [Model Info API](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api.md)
- [Request](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/request.md)
- [Headers](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/request/headers.md)
- [Body](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/request/body.md)
- [Response](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/response.md)
- [Usage notes](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/usage-notes.md)
- [Code Examples](https://docs.graphite-note.com/graphite-note-documentation/rest-api/model-info-api/code-examples.md): This page provides practical examples for interacting with the Model Results API using both Python and PHP. The Model info API allows you to retrieve metadata outputs from your Graphite Note model
- [API Response Status Codes](https://docs.graphite-note.com/graphite-note-documentation/rest-api/api-response-status-codes.md)


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