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Data Science Project: Engineer Time Series Data For Classification With Machine Learning 

Giraffa Analytics
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16 сен 2024

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Комментарии : 6   
@trascautrailrun8530
@trascautrailrun8530 24 дня назад
Thank you for this tutorial! I enjoyed how you explain data leakage and how to prevent it in cross validation.
@giraffa-analytics
@giraffa-analytics 24 дня назад
Sure! Preventing data leakage is really important for the health of the model... and the mental health of the data scientist. 😅
@AlissonSantos-qw6db
@AlissonSantos-qw6db День назад
Nice, very good! Could you share your code?
@KabirMittal-pq2fz
@KabirMittal-pq2fz 6 дней назад
Your videos are amazing 😍 just want one thing pls bring one roadmap with all resources either free or paid as you are a senior data scientist you can guide better. And pls give month wise plan also make sure it will around 6-9 months thnx 🌟
@giraffa-analytics
@giraffa-analytics 5 дней назад
I appreciate it! 😊 I don't really think there is a one fits all learning plan, but what I am convinced works in the beggining is: - work on projects (like I am guiding you through) - do not use code assisstant (a new study was released proving that speed in solving problems comes at the high cost of not learning anything from it) - reflect about the concept. I will soon post an example video on how to do that. - be consistent. This might be difficult and it is where a learning peer or mentor helps with accountability. I hope this helps! Keep it up!
@KabirMittal-pq2fz
@KabirMittal-pq2fz 5 дней назад
@@giraffa-analytics thank you🤗
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