Supervised Learning Algorithms to detect whether any human is in the room

I am experienced Python developer and machine learning enthusiast, in the top 1% on Kaggle (search for Norman Secord). I will provide a python notebook with answers to all of the items in the Project document, or split it into several notebooks if you desire. With just a few minutes work, and without performing any optimisation, I was able to get the following results using Scikit-Learns RandomForestClassifier with the following parameters: (n_estimators=100, min_samples_leaf=5, max_depth=5, random_state=1234) Test1 : Accuracy = 0.978, Recall=0.995, Precision=0.947, F1=0.971 Test2: Accuracy = 0.993, Recall=0.996, Precision=0.972, F1=0.984 I haven't had a chance work out why yet but it appears that leaving the door open improves the accuracy. The model is based on the original features plus a few quickly created ones (Day, Hour, DayOfWeek, MinuteOfTheDay, DaySegment). The last one, simply divides the day into 4 time segments by hour (0-6, 6-12, 12-18, 18-24). Overall the most important features in the Random Forest model are Light and CO2 by a significant margin. I hope that is sufficient information so show you that I am easily able to complete the project and provide everything you need.

Hello I have more than 10 years experience in machine learning, data mining, and image processing. I can do this project in a perfect way since i have worked on many projects in these topics. Could you please send me a sample input (image) to check? do you want to test the performance of specific supervised algorithms? thanks

I am well experienced in this field. I have checked the dataset too. I will apply Decision Tree Algorithm on it to classify them. I know other algorithms as well.

Makine mühedisliği yüksek lisans öğrencisiyim ve hibrit elektrik araçların sürüş çevrimlerinin kümelenmesi üzerine bir tez çalışıyorum. Projeniz oldukça ilgimi çekti, kullanılacak algoritmaları öğrenmek isterim.

Hi, We are India based Data Science Startup. We have worked on several machine learning and AI projects with various clients and have got best positive feedback from all of them. We saw the file you uploaded, we are totally comfortable performing the task of identifying if a human is present in room or not. We have performed similar task of object detection earlier, where we need to find the object in room, via its humidity, air concentration and smell. We also worked on other IOT project like traffic management system. So, this project will be in safe hands. We are friendly dealing with clients. If you have any further queries do let me know. With Regards, Shubham Sharma IDeepeners Team

hi i am very good at machine learning i have many experiences i can give you wonderful result let us discuss thank you

Hi there. I'd love to work on this with you. I'm a Lecturer in Artificial Intelligence and Machine Learning, with a PhD in those topics, so this is right up my street ;) there are lots of different ways to solve this problem, and we could try out different algorithms and provide a comparison of them. Please get in touch if you'd like to talk about specifics :) Thanks!!

Having done extensive research on computer vision and published a work on machine learning, i find myself opt for this job. To see my machine learning work, send me an email directly !

Hi, I have been working on SVM to find hand gesture of particular shape and successfully completed the project. I also had experience in detecting eggs and counting them. In your project we need to train SVM to detect human are present in the room or not and using that data we need to further train our algorithm.