Add for-loop version to automate XGBoost parameter tuning in 08-xgb-tuning.md

[SamuelTre07]

This PR introduces a new code snippet to simplify hyperparameter tuning for XGBoost models by using a for-loop over multiple eta values.

• Automates the repeated training process shown in the original manual approach.
• Stores results in a dictionary for easy comparison and further analysis.
• Code is added alongside the existing example to preserve clarity for learners.
• The etas list can be easily modified to test any set of values.

This improvement improves readability, reduces manual repetition, and makes experimentation easier for students.

[mildra1]

Thank you for this sir

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On Mon, 4 Aug 2025 at 6:57 PM, Samuel Iyanuoluwa Oke < ***@***.***> wrote: This PR introduces a new code snippet to simplify hyperparameter tuning for XGBoost models by using a for-loop over multiple eta values. - Automates the repeated training process shown in the original manual approach. - Stores results in a dictionary for easy comparison and further analysis. - Code is added alongside the existing example to preserve clarity for learners. - The etas list can be easily modified to test any set of values. This improvement improves readability, reduces manual repetition, and makes experimentation easier for students. ------------------------------ You can view, comment on, or merge this pull request online at: #653 Commit Summary - ca0a454 <ca0a454> added xgboost tuning via for loop File Changes (1 file <https://github.com/DataTalksClub/machine-learning-zoomcamp/pull/653/files> ) - *M* 06-trees/08-xgb-tuning.md <https://github.com/DataTalksClub/machine-learning-zoomcamp/pull/653/files#diff-55cb3f8b0029da4d2fa2cdece57978926634119ec0dd46510af0f0d1facaa062> (47) Patch Links: - https://github.com/DataTalksClub/machine-learning-zoomcamp/pull/653.patch - https://github.com/DataTalksClub/machine-learning-zoomcamp/pull/653.diff — Reply to this email directly, view it on GitHub <#653>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BUJQ7TLVLGTHJIHSTMY3VUD3L6NJNAVCNFSM6AAAAACDCW3HPKVHI2DSMVQWIX3LMV43ASLTON2WKOZTGI4TAMZSHAYDINY> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>