My research is focusing on improving AutoML, especially on the pre-processing part. It is stated in some articles that at the moment, data pre-processing is not handled very well by any of the AutoML tools and still requires considerable human intervention. I propose to use multimodal data fusion by using deep learning to convert every data type to numerical which in pre-processing part. The AutoML that I want to focus on is Auto-sklearn which uses python coding. I am a beginner in python by the way.
So, I need to have systematic coding source in python of auto-sklearn and also coding source in multimodal deep learning to understand how to integrate both frameworks. If somebody can be interested to approach me, please let me know.
23 freelanceria on tarjonnut keskimäärin $17/tunti tähän työhön
I'm a Certified Data Analyst From Google, I worked with same project and deploy using Pycaret and Streamlit libraries from python using Anaconda Platform