GSOC 2020 - Machine Learning Plugins for Data Science project demo

Presentation by Loghi Perinpanayagam, a GSoC 2020 student. The main goal of this project is integrating Machine Learning workflow including Data preprocessing, Model Training, Evaluation and Prediction with Jenkins build tasks. This plugin will be capable of executing code fragments via IPython kernel as currently supported by Jupyter Notebook. Kernels which are already installed can be configured for each build step and dumping visuals is an added feature in the plugin.

Machine Learning has evolved rapidly in the software industry for recent years. Jenkins CD/CI can be a good practice to deliver a high reliable product in the end. Machine Learning plugin can be used to build Jupyter Notebooks and script files with proper kernel configurations. In addition, the build wrappers could be used to convert Jupyter Notebooks to python/JSON and/or copy the files to the workspace for more actions.This Machine Learning plugin will endeavour to satisfy the data science community together with the help of other plugins. Success of this plugin will definitely serve much benefits to the community and Jenkins.

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[brunodepaulak]

Shame I couldn't attend the demo Loghi, sorry (I was up until around 1AM, but couldn't make it till 2). It was really great working with you on this project. There are multiple possibilities now, connecting Jenkins with Kernels. Looking forward to what interesting things users will be able to create with the Machine Learning Plug-in, and with the code that integrates Zeppelin/Jupyter Kernels/Jenkins. Well done!

[RamanKumar-mgqs]

HELLO BRO, I NEED YOUR URGENT HELP I WANT TO CRACK GSOC IN ML OR DL IN 2021, I HAVE STUDIED BASICS OF ALL DEEP LEARNING COMPLETED ANDREW NG TWO COURSE ON DEEP LEARNING AND MACHINE LEARNING, COULD YOU PLEASE SUGGEST ME SOME OF THE COMPNIES AND WHAT TO STUDY NEXT, LIKE MORE OF COMPUTER VISION ETC