Thank you for agreeing to provide feedback on our project. You are an awesome person!
We, the creators of the DataSwissKnife project would love to hear your thoughts on the project and your objective evaluations of our work will be the most meaningful catalysts in how we move this project forward.
What do you need to do?
1. Head over to this link
https://github.com/ry05/dataswissknife and read about the project and its purpose and also follow instructions to run the program in your system.
2. Respond to the questions in this survey to inform us about your take on the project
Requirements
1. You will need a dataset in your local machine to test the project. This dataset has to be a .csv file. We would suggest you try it first by downloading train.csv at this link
https://www.kaggle.com/c/titanic/data2. After that is done, you could try with any other dataset of your liking as long as the dataset fill the following criteria:
a) It is for a supervised, machine learning problem
b) It contains both the descriptors and target feature
c) It is a .csv file
Do fill out your name while filling the form as it will help us provide you with an acknowledgement on the github repository of this project.
Last but not the least, we would like to emphasise that the DataSwissKnife(DSK) is an embryonic tool which if developed well can help aid a lot of relevant purposes(as specified on the project repository). And the only way we could develop it better is with real, honest feedback from wonderful users like you. We like to call this, "Community Testing". Therefore, we would really appreciate your feedback and would also be more than happy to provide you with greater roles in working on DSK if you would like to do so.
Thank you.
