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+Blockly ML +

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+ + +BlocklyML is a **No Code** training ground for python and Machine Learning. This tool is designed to simplify standard machine learning implementation. +This tool can assist anyone who wants to start with Machine Learning or python. This is a forked project from [Blockly](https://github.com/google/blockly) and adapted for machine learning and Data analytics use-cases. :brain: + +For a sample run go to sampleLayouts folder upload and try it out :smiley: + + +Read the ![UserGuide.md](https://github.com/chekoduadarsh/BlocklyML/blob/main/UserGuide.md) for further info + + +In the Example given below we will train a random forest for Iris Dataset + + +https://user-images.githubusercontent.com/26855534/174473003-488f675f-50a0-48f1-9ef0-81987bd21166.mp4 + +# Table of contents + +- [Table of contents](#table-of-contents) +- [Installing as BlocklyML App](#installing-as-blocklyml-app) + - [Flask Method](#flask-method) +- [UI Features](#ui-features) + - [Shortcuts](#shortcuts) + - [Dataframe Viewer](#dataframe-viewer) + - [Download Code](#download-code) +- [Contribute](#contribute) + - [This repo welcomes any kind of contributions :pray:](#this-repo-welcomes-any-kind-of-contributions-pray) +- [License](#license) +- [Thanks to](#thanks-to) +# Installing as BlocklyML App +First clone this repo + +```shell +git clone https://github.com/chekoduadarsh/BlocklyML +``` +After cloning the repo you can either follow the Flask Method + + +# Running the App Using Docker + +If you've cloned the project and want to build the image, follow these steps: + +1.Open your terminal and navigate to the project directory. + +2.Run the following command to build the Docker image: + +```shell +docker build . -t blocklyml/demo +``` +Once the image is built, you can launch the app by executing the following command: + +```shell +docker run -ti -p5000:5000 blockly_ml/demo +``` +This will start the app, and you'll be able to access it by opening your web browser and navigating to `http://localhost:5000` +### Flask Method + +Install the requirements from `requirements.txt` with the following command + +```shell +pip install -r requirements.txt +``` + +then you can run the application by +```shell +python app.py +``` + +Simple as that :man_shrugging: + +# UI Features + +## Shortcuts +You can find these buttons in the top right corner of the application. Their functionality as follows + +1. Download XML Layout +2. Upload XML layout +3. Copy Code +4. Launch Google Colab +5. Delete +6. Run (Not Supported Yet!!) + +drawing + +## Dataframe Viewer +Blockly support complete html view of the DataFrame. This can be accessed by view option in the navigation bar + +drawing + + +## Download Code +Blockly support both .py and .ipynb formats. You can download the code from the download option in the navigation bar + +drawing + +# Contribute + +If you find any error or need support please raise a issue. If you think you can add a feature, or help solve a bug please raise a PR + +### This repo welcomes any kind of contributions :pray: + +Feel free to adapt it criticize it and support it the way you like!! + +Read : [CONTRIBUTING.md](./CONTRIBUTING.md) + + +# License +[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) + + +# Thanks to +[![Stargazers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/stars/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/stargazers) +[![Forkers repo roster for @chekoduadarsh/BlocklyML](https://reporoster.com/forks/chekoduadarsh/BlocklyML)](https://github.com/chekoduadarsh/BlocklyML/network/members) + + +[!["Buy Me A Coffee"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/chekoduadarsh)