How to train XGBoost models in Python

Welcome to How to train XGBoost models in Python tutorial. You'll build an XGBoost Classifier model with an example dataset, step-by-step.
By following this tutorial, you’ll learn:
✅What is XGBoost (vs. gradient tree boosting algorithm)
✅How to build an XGBoost model (Classifier) in Python, step-by-step:
Step #1: Explore and prep data
Step #2: Build a pipeline of training
Step #3: Set up hyperparameter tuning (cross-validation)
Step #4: Train the XGBoost model
Step #5: Evaluate the model and make predictions
Step #6: Measure feature importance (optional)
If you want to use Python to create XGBoost models to make predictions, this practical tutorial will get you started.
GitHub Repo with code: github.com/lia...
Technologies that will be used:
☑️ JupyterLab (Notebook)
☑️ pandas
☑️ scikit-learn (sklearn)
☑️ category_encoders
☑️ xgboost Python package
☑️ scikit-optimize (skopt)
Links mentioned in the video
► Bank marketing dataset: archive.ics.uc...
► What is gradient boosting in machine learning tutorial: fundamentals explained: www.justintoda...
► To learn Python basics, take our course Python for Data Analysis with projects: www.justintoda...
► sklearn pipeline: scikit-learn.o...
► Target Encoder: contrib.scikit...
► XGBClassifier documentation with hyperparameters definition: xgboost.readth...
There's also an article version of the same content. If you prefer reading, please check it out. How to build XGBoost models in Python: www.justintoda...
Get access to more data science materials, check out our website Just into Data: justintodata.com/

[@TheHorn89]

Love your calm explanation style and right level of detail for a youtube tutorial - thank you!

[@samihamine906]

Fantastic explanation! Your clear and engaging content has certainly earned you a new subscriber. I'm thrilled to have discovered your channel and I'm eager to see more insightful videos on Machine Learning. Keep up the incredible work! 💐

[@8shounak]

Love the tutorial and in depth explanation. Thanks

[@kylecheung9302]

How do you interpret the prediction results? The results are all real numbers, can you look at each prediction on its own or do you have to evaluate as a whole? For instance person X target is 0.45, what does that tell me? Or negative values as the result what does that mean

[@paulodoi6941]

Great staff

[@dianafarhat9479]

Great tutorial, but I have a question. Why did you change the result column to 0's and 1's if there's a target encoder? Can we keep them categorical?

[@Cantblendthis]

I get a warning at the training step. np.int has been deprecated and removed, so I can't continue as it doesn't run (no warnings that could be ignored). What do I need to solve this? Thanks.

[@bakerb-rz6lv]

Love from China!

[@edsonmisaelastorgacastro9170]

Why do you use Real or Interger on your hyperparameters? Thanks!!!

[@hritwijkamble9988]

My model is not training. I mean programming is stuck at opt.fit(x_train,y_train) and it is not moving forward from here. What's Happening?

[@azingo2313]

What is F-Score here. Can you please explain the final step?

[@natural8471]

Thank kyo!

[@VincentvanWitteloostuyn]

Why not including euribor3m interest rates, it seems a strong predictor given the type of conversion for a bank, also it's proven in the data.
Train 0.794
Test: 0.811

[@justintodata]

Hi Vincent, we didn't really focus on what features to include since this is more of a demo of the xgboost model:) Thanks for bringing it up

[@1993Redemption]

Then include it in your model. Choosing columns (or features) to include is just user judgement and domain knowledge, and so doesn't pertain much to making a better model in a mathematical sense since XGBoost is already so robust. If including it makes the model better, great put it in.

[@bakerb-rz6lv]

when i run "opt.fit(...)". It is wrong. "ValueError: multiclass format is not supported" How to fix it?

[@langwang9130]

same here

[@dennislam1501]

u may need to read TargetEncoder documentation to find out more. He did not use sklearn onehot or ordinal encoder

[@-uz]

@@langwang9130you have to set a parameter to specific xgb to use multiclasses

[@ИринаПапенина]

747 Josiah Vista

[@DebraLittle-pz5um]

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[@hkgyguhuviChbjn]

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[@CarolLee-s3g]

Lind Walk

[@NicolauEnomoto]

The explanations kinda suck

[@andreibuchatskiy8472]

really not well made at all, very frustratinfg to follow 4/10

[@andreibuchatskiy8472]

till a devent tuorial tho!

[@vilaclaranicolau9140]

@@andreibuchatskiy8472nah it’s horrible

[@swearenginNourmohamadi]

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