I need a model trained on the CSV in the zip attached that can capture 4+ changes in the column 2 value between rows. Ideally, the captured change is as large as possible. This data is coming from a machine we have built and we are trying to capture changes that occur with the machine to generate power .
You can use Python or any language. You can use any ML model (RL, LSTM, etc)
I have attached rl_training_data.zip which contains a CSV with 10000+ rows of data.
Rules :
You must capture 4+ changes in the column 2 value between rows. Ideally, the captured change is as large as possible.
Your code MUST have a mode where it reads the rows one by one, and then indicate (write to a file) when the capture should start after reading a row, and then indicate (write to a file) when the capture should stop. You can keep appending the start/stop of captures to a file.
I will sum up all the captures your app has generated and see if it passes a threshold. There is a minimum amount for the total captures you must meet
Bonus: I will pay out a nice bonus if your app can produce good results on my Out of Sample data I will run your app on.
RESPOND with an estimate in hours to complete this task (or I will probably not respond)
