Develop a simple machine learning model (in Python/C++)
Develop a machine learning model for automatic analysis of parametric information from aircraft onboard storage devices. Using the developed model, create a classifier for the main flight phases (taxi, takeoff, climb, cruise, descent, landing) based on analog speed and altitude parameters.
This is a project for summer practice from the university, so it is desirable for the program to be written as simply as possible. Whether the program will work 100% correctly is not important to me, the main thing is for the program to simply work and at least approximately perform what is specified in the task. The final result can be presented in the form of a graph (if each flight phase can be somehow highlighted on it, if not - it can be done differently at your discretion).
I would also like to ask the performer to add comments to the code so that it is clear what each part of the code does.
Data for the task is provided in the form of an .xlsx table, and there is already a pre-created graph of all parameters.
Additional materials (information about flight phases):
- Airbus A320 Flight Phases (1 to 10) by FWC - AviationHunt
- Flight Phases - FlyByWire Simulations Documentation
Applications 2
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5 days78 USD
198 1 0 5 days78 USD
Good day. I understood your request. Overall, it's quite an interesting task that I would gladly take on. I will try to do my best. I have extensive experience in Python programming language and familiar with machine learning. The sooner you reply, the sooner you will receive the project. The deadline is approximate.
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Belaya Tserkov