that data dictionary does seem useful, I would be curious to see how well it deals with more " disguised" features, such as a categorical feature that seems continuous or the inverse. Because sometimes I feel getting the feature type right can really be a matter of knowing, it would be impressive if it was very consistent.
Thanks for the great video. it was an awesome comparison. Are you practicing data science, I am looking for small role in data analysis with R programming software, do you have any advice. I have a masters degree in environmental science from Addis Ababa University. By the way are you on LinkedIn, would like to follow you. Thanks.
that data dictionary does seem useful, I would be curious to see how well it deals with more " disguised" features, such as a categorical feature that seems continuous or the inverse. Because sometimes I feel getting the feature type right can really be a matter of knowing, it would be impressive if it was very consistent.
Stopped using ai, as I stopped learning and got lazy. Now only reach for it as a last resort.
Pls mic fix
Thanks for the great video. it was an awesome comparison. Are you practicing data science, I am looking for small role in data analysis with R programming software, do you have any advice. I have a masters degree in environmental science from Addis Ababa University. By the way are you on LinkedIn, would like to follow you. Thanks.