From d3f465d55a83232648029e7ec4300316816e8f7a Mon Sep 17 00:00:00 2001 From: Piotr Date: Tue, 21 Jul 2020 12:46:50 +0200 Subject: [PATCH] Update README.md --- README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/README.md b/README.md index 17a12751..a2a2cff9 100644 --- a/README.md +++ b/README.md @@ -10,6 +10,19 @@

+## Table of Contents + + - [Automated Machine Learning](https://github.com/mljar/mljar-supervised#automated-machine-learning-rocket-computer-bulb) + - [What's good in it?](https://github.com/mljar/mljar-supervised#whats-good-in-it-eyes-cake-boom) + - [Available Modes](https://github.com/mljar/mljar-supervised#available-modes-school-books) + - [Examples](https://github.com/mljar/mljar-supervised#examples) + - [Documentation](https://github.com/mljar/mljar-supervised#documentation) + - [Markdown Reports](https://github.com/mljar/mljar-supervised#markdown-reports) + - [Installation](https://github.com/mljar/mljar-supervised#installation-package) + - [Contributing](https://github.com/mljar/mljar-supervised#contributing) + - [License](https://github.com/mljar/mljar-supervised#license-necktie) + - [MLJAR](https://github.com/mljar/mljar-supervised#mljar-heart) + ## Automated Machine Learning :rocket: :computer: :bulb: The `mljar-supervised` is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist :sunglasses:. It abstracts the common way to preprocess the data, construct the machine learning models, and perform hyper-parameters tuning to find the best model :trophy:. It is no black-box as you can see exactly how the ML pipeline is constructed (with a detailed Markdown report for each ML model).