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

[@trascautrailrun8530]

Thank you for this tutorial! I enjoyed how you explain data leakage and how to prevent it in cross validation.

[@giraffa-analytics]

Sure! Preventing data leakage is really important for the health of the model... and the mental health of the data scientist. 😅

[@KabirMittal-pq2fz]

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]

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]

@@giraffa-analytics thank you🤗

[@AlissonSantos-qw6db]

Nice, very good! Could you share your code?

[@giraffa-analytics]

Hi, I put it in the description. This video refer to notebook 03_binary_classification.ipynb