The image that is attached here shows response time (y axis) of a person/subject over time (x axis). The subject is playing a computer game during this time. The timeline (x axis) includes some milestones that are marked with red arrows as you can see. At these milestones, the game starts to be a little easier or harder. The person's reaction time may start to increase or decrease accordingly after these. However, some subjects adapt to the new game very fast, while others do that slowly, meaning that they have different learning rates. I want to compare learning rates across two groups (healthy and patient). In each group, there will be several subjects. Please note that the image here shows only one subject.
I want to work with someone who have experience with learning models.
I suggest modeling data using this toolbox: [login to view URL]
However, I am open to other suggestions as well. Please note that the toolbox above has a practice dataset to help you learn using it - follow the download buttons in the link.
While I ask you do this modeling, I am a student who aims to learn to do this kind of modeling myself. I use freelancer just to accelerate this process. I am looking forward to work with someone who has enthusiasm for teaching. I have great deal of experience in programming. I value communication skills. When sending requests, please explain why you are the right person for this project. Also feel free to ask questions.
Looking forward to working with you. Thanks.
Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machin Plus
10 freelance font une offre moyenne de $477 pour ce travail
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I have very good knowledge on this and has experience on this I can deploy it to u in 10 days
Dear Sir, I found out that we cannot increase the modeling accuracy until we have an accurate analysis of time-series behavior. i do the data modeling as follows: 1- analyze the dynamic behavior of the data: if th Plus