Need Python Machine Learning Expert to learns the data distribution during normal every-day execution and signals when that output is anomalous with respect to the past.
Most importantly can great good GUI and amazing graphs
This is my proposal
Milestone 1. Create python program to collect the data from snort and other analyzers and then merge all the datas to a jason format. (API Endpoints)
Milestone 2. Add a feature in the program that read a jason file, get and show the unlabelled data, then a user can label the data manually.
Milestone 3. Train and test the data using ML. Get the best classifier and hyperparameters according to the testing accuracy.
Milestone 4. From the best classifier model obtained above, modify the python program by embedding the prediction after a new data coming.
Milestone 5. Create separated program that will update the classifier model after N new datas are labelled or every certain period e.g. re-train should be done twice a day or maybe once an hour. According to the rate of incoming data and the speed of training.
22 freelancers are bidding on average $298 for this job
Hi, We have experienced Deep Learning expert who has experience in python programming, model training, processing structured and unstructured datasets. Please let me know if we can chat more on this. Thanks,
Hi! I'm interested in your project. I can help you with my skill and I have good experiences. I will finish it in time and do my best. Lets discuss more detail in private chat. Thanks for reading my bid.
Hi, thanks for your job posting. I'm a ML, DL expert with over 10 years of experience. I just read your post carefully and understood your requirements fully. Please discuss in detail via chat. Thanks.