deep learning using sensor data -- 3

Hi, anyone who knows me would know that I was trying hard to learn ml/dl/ai for the last couple of moths. I have landed with a job to handle the exact project I was envisioning. I know I will succeed in every way and my boss would not be disappointed with the results I am going to produce. my project; 1. how to collect data from sensors (vibration, accelerator, and sensors for other elements) 2. how to produce monitoring data as seen in this example [login to view URL] 3. how to ml/dl with the data collected for model building your job; 1. guide me to set up the local or remote machine 2. prepare data or at least guide me using teamviewer or terminal sharing. 3. code reviewing 4. in the event of my inability to produce results, you are required to help or build your own models. my budget: usd200 here's the gist of what the data is about and the objective modeling I am expecting to have in the output; data from sensors placed all over a historical building over the years stored in the server I am trying to utilize the data using deep learning so that in the resulting output, we are able to pin point the stress points and offer maintenance and predictive modeling machine learning, deep learning, python, linux, data science