Hello,
I have a dataset with 5 columns - timestamp, temperature, humidity, light intensity, and temperature in shadow. I aim to predict the temperature in shadow by training a machine learning model. Can you please advise me on the best model that suits my dataset? Also, I am new to using Edge Impulse and need help creating an impulse from this data. Can you kindly provide detailed steps for me to follow?
So in your case, the temperature in shadow should be the label.
What you can do if to name your csv such as:
20.your-file-name.csv when your temperature in shadow is 20 and remove that column from this CSV file.
Also note that your timestamp should have a constant increase.
e.g. with 200ms:
timestamp, column1, column2, column3,
0, x, y, z,
200, x, y, z,
400, x, y, z,
...