Fourth video of the series showing machine learning in orange. This video covers linear regression with correlation, prediction and evaluation. There is also a special section using training and test data. Please leave a comment if you have requests.
@rosalintcelcia4042
Ай бұрын
sir can you share the dataset please?
@DrCodie
Ай бұрын
Yes, the best method is for me to make the data files available online. So follow this link below to the webpage and scroll to the bottom where I have put the files. If there are any problems then let me know via a comment. Hope this is ok. Here is the webpage; www.alps.academy/linear-regression-in-simple-terms/
@unitedbrothers3067
4 ай бұрын
Hello, the next step is predicting the C02 right? Can you make a video about that?
@DrCodie
4 ай бұрын
Hi, thanks for the question. To be honest it has been a while since I taught this, can you give me a couple of days to find the files and I can see if I can do the video that you have requested?
@unitedbrothers3067
4 ай бұрын
@@DrCodie i think i've figured it out. Is it true that the values under linear regression under predictions widget are the predicited values? If so i can just leave some target values empty and let orange give me the predicted values.
@DrCodie
4 ай бұрын
yes, the predictions based on the test data are in the predictions widget
@cherylwu0406
3 ай бұрын
I did the same workflow, but I could not get the results of MAE from Test & Score. Is it because my data features are all categorical?
@DrCodie
3 ай бұрын
The data features used need to be the right type at the beginning, so that is one of problems if the results are not what you expect.
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