System A (Django) contains multiple sets of textual data with classifications.
System B (To build) allows a user to train and predict values from System A with the different sci-kit classification tools.
Steps to follow
1) System A sends training data via GRPC to System B
2) System B gets data and user can pick, tune and save different algorithms like Decision tree etc to see the fit, confusion matrix, etc for the different sets of data.
(Most of the machine learning script is done.)
3) System A can then send the test data via grpc to predict values based on the algorithms done in 2.
20 freelancers are bidding on average $1075 for this job
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
Kindly share more details on the existing Python implementation (Python language version, databased used, if any) Also would like to know if the target is any cloud platform, if so which platform.