{ "cells": [ { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "![brainome logo](./images/brainome_logo.png)\n", "# Brainome Tutorials\n", "This set of Jupyter notebooks will give you a comprehensive tour of the brainome table compiler's unique capabilities, from its basic functionality to the advanced integration options.\n", "\n", "[RUN THIS NOW FOR FREE](https://colab.research.google.com/github/brainome/jupyter/blob/main/brainome_100_index.ipynb) on Google Colab, [clone from github](https://github.com/brainome/jupyter) to run on your own Jupyter/JupyterLab instance, or simply [browse the html snapshot](https://jupyter.brainome.ai).\n", "\n", "## Getting started with brainome\n", "* [Running this tutorial](./README.md)\n", "* [101 Quick Start](./brainome_101_Quick_Start.ipynb)\n", "* [102 Using CLI](./brainome_102_Using_CLI.ipynb)\n", "* [103 Model Selection](./brainome_103_Model_Selection.ipynb)\n", "* [104 Using Predictor](./brainome_104_Using_Predictor.ipynb)\n", "* [105 Sourcing Your Data Set](./brainome_105_Sourcing_Your_Data_Set.ipynb)\n", "* [106 Describe Your CSV](./brainome_106_Describe_Your_CSV.ipynb)\n", "\n", "## [Using Measurement to Create Better Models](./brainome_200_Using_Measurement.ipynb)\n", "## [Integrating Predictors in Python](./brainome_300_Integrating_Predictors.ipynb)\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 1 }