Data Science Portfolio Project: Regression #2 | Data Science with Marco
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Top Comments (6)
You should add some end-to-end projects
What if you want the accuracy in percentage and not rmse who would you do that
This is great stuff. Really builds up the perspective. Can we continue on this kind of competitive problems so as to build a solid foundation for solving Kaggle projects. !!
Thanks. I am downloading this for future reference purposes. Next lets do one on classification.
hello sir can you make a video on pattern recognition between numbers with ML
Great video but I see that you have done only RMSE test here. I would like to under the R2 score for it as well since when I am building my Regression models the R2 scores are horrifyingly low and I cannot afford to omit the multi collinear columns because that way I won't even have any columns left to use as my feature for label prediction. I will keep looking for ways to improve it or might just switch to classification instead of making this a regression problem hahaha. Anyway please continue the awesome work! Appreciate such content on YT.
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Top Comments (6)
You should add some end-to-end projects
What if you want the accuracy in percentage and not rmse who would you do that
This is great stuff. Really builds up the perspective. Can we continue on this kind of competitive problems so as to build a solid foundation for solving Kaggle projects. !!
Thanks. I am downloading this for future reference purposes. Next lets do one on classification.
hello sir can you make a video on pattern recognition between numbers with ML
Great video but I see that you have done only RMSE test here. I would like to under the R2 score for it as well since when I am building my Regression models the R2 scores are horrifyingly low and I cannot afford to omit the multi collinear columns because that way I won't even have any columns left to use as my feature for label prediction. I will keep looking for ways to improve it or might just switch to classification instead of making this a regression problem hahaha. Anyway please continue the awesome work! Appreciate such content on YT.