Machine Learning Classification - Data Captured by Devices

Only highly Skilled Data Scientist.

I am dealing with Sensor Data which has numerical observations for different variables. I want to classify them into three labels A, B, C. But, here the situation is different. I have 30 Instances for training (or labelled data) and 20 instances for testing (unlabeled data).

Now, these instances are time series recordings for variables and parameters recorded by the sensor. Each instance is a CSV file. The name of the CSV file is the label, this label I need to classify. So, I have 30 CSV files or instances (or thirty observations for training ) and 20 instances or CSV files for testing.

I want to figure out, how can I put these data (each observation (or class) of training data is a csv file and each file contains 5000 observations) in a machine learning model to classify the unlabelled test data giving CSV file a input. Include ML/DL in your bid proposal to verify you read the proposal.

Habilidades: Extração de Dados, Data Scraping, Aprendizado de Máquina , Neural Networks, Python

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Acerca do Empregador:
( 2 comentários ) Kandhla, India

ID do Projeto: #15637247

17 freelancers estão ofertando em média $182 para esse trabalho


Greetings, I can help you in Machine Learning Classification - Data Captured by Devices . Please see my profile i have deliver almost 270 projects with 100% client satisfaction. Relevant Skills and Experience I ha Mais

$200 USD in 5 dias
(21 Comentários)
$150 USD in 3 dias
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Entry prices since i am still new to the platform Relevant Skills and Experience I am working as a professional data scientist, you can check my github to validate my ML/DL experience: [login to view URL] Mais

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(33 Comentários)

Hello I am Java and Machine learning expert and interested in this project. I have reviewed the details and confident to handle the project perfectly. Please communicate to discuss further. Regards Anshu

$200 USD in 3 dias
(18 Comentários)

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$155 USD in 10 dias
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$200 USD in 10 dias
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