***FYP*** Are you a data scientist? If yes, you would have written a code for an algorithm as simple as KMeans, but faced difficulties as a beginner! Might have searched Mr. Google a few times to make it work! What if you could run algorithms without writing a single line of code? It will make your life easy, right? Well don't worry, we have a solution for you. We, Sami Shehzad and Wamiq Adnan , at FAST have created such a solution for you as our FYP called : VEDS "A drag n drop graphical tool to create pipeline, pre process data and run ML algorithms." VEDS is a web application developed in React, which provides you an interface to add nodes in a pipeline starting with "upload data" to ending with "show result" and all between. Technologies Used : Reactjs Python Flask #machinelearning #python #flask #scikitlearn #reactjs #webdev #datascience
What is the difference between KNIME and VEDS apart from being web based?
I have witnessed the birth of this idea and seeing it in its final stage is such a pleasure. The hard work and all the nighters you put into this have finally paid off. A brilliant idea to help out many. Keep up the good work. Kudos Muhammad Wamiq Adnan.
Mustafa Dar This is the kind of presentation we must create for our project. Every usecase in detail, every functionality granularly documented.
nice
Great work! can you please provide the web application link?
Awesome Wamiq!! 👏
Great Work Wamiq and Sami.
Great work
Software Engineer at Diametos GmbH
3yFantastic work boys! Absolutely loved it. Normally I roll my eyes whenever I now see a Data Science FYP thinking "Yet Another DS FYP from FASTians" (my FYP was ML related too :p), but this is something that is actually useful. Kudos to you and your team.