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MetaSnake Products/Professional XGBoost Standard
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  • $499

Professional XGBoost Standard

  • Course
  • 95 Lessons

6 weeks of professional tabular learning. No live content.
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Contents

Handouts and Notebooks

01-python-pandas.pdf
  • 541 KB
01-pypd.ipynb
  • 1.31 MB
02-ml.ipynb
  • 811 KB
02-sklearn.pdf
  • 104 KB
03-xgboost.ipynb
  • 1.02 MB
03-hyperparams.pdf
  • 44.8 KB
04-evaluation.pdf
  • 548 KB
04-evaluation-quality.ipynb
  • 73.6 MB
05-shap-constraints.ipynb
  • 2.49 MB
05-SHAP.pdf
  • 991 KB
06-kfold.ipynb
  • 58.9 MB
06-kfold.pdf
  • 93.7 KB
podia-sales-2024-03-22-anon.csv
  • 1.08 MB

Getting Started

Weekly Instructions and Success Tips for Your XGBoost Course

    Week 1: Python & Pandas Review

    00-Intro.mov
    • 1 min
    • 78.7 MB
    01-Classes.mov
    • 9 mins
    • 456 MB
    02-Pipelines.mov
    • 2 mins
    • 152 MB
    03-Functions-Parameters.mov
    • 7 mins
    • 473 MB
    04-Lambda.mov
    • 9 mins
    • 725 MB
    05-Lambda-Pandas.mov
    • 11 mins
    • 885 MB
    06-Parameters.mov
    • 3 mins
    • 166 MB
    07-Unpacking.mov
    • 7 mins
    • 440 MB
    08-Assign.mov
    • 6 mins
    • 471 MB
    09-Plotting-Intro.mov
    • 4 mins
    • 269 MB
    10-Line-Plots.mov
    • 8 mins
    • 595 MB
    11-Bar-Plots.mov
    • 11 mins
    • 695 MB
    12-Histograms.mov
    • 5 mins
    • 411 MB
    13-Scatter-Plots.mov
    • 8 mins
    • 642 MB
    14-PCA.mov
    • 6 mins
    • 495 MB
    15-Conclusion.mov
    • 1 min
    • 40.9 MB

    Week 2: ML Fundamentals

    201-Intro.mov
    • 2 mins
    • 81.8 MB
    202-Regression.mov
    • 2 mins
    • 107 MB
    203-Linear-Regression.mov
    • 6 mins
    • 443 MB
    204-Tree-Models.mov
    • 8 mins
    • 575 MB
    205-Feature-Engineering.mov
    • 12 mins
    • 942 MB
    206-Pipelines.mov
    • 4 mins
    • 262 MB
    207-Categorical-Data.mov
    • 5 mins
    • 295 MB
    208-Missing-Data.mov
    • 3 mins
    • 139 MB
    209-Python-Transformers.mov
    • 2 mins
    • 55.8 MB
    210-Large-Pipelines.mov
    • 4 mins
    • 299 MB
    211-Splitting-Data.mov
    • 5 mins
    • 373 MB
    212-Conclusion.mov
    • 1 min
    • 56.3 MB

    Week 3: Tuning Models

    301-Intro.mov
    • 7 mins
    • 316 MB
    302-Basic-Model.mov
    • 2 mins
    • 152 MB
    303-Overfitting-Evidence-Classification.mov
    • 5 mins
    • 374 MB
    304-Objectives-Cls.mov
    • 2 mins
    • 116 MB
    305-XGB-Hyperparameters.mov
    • 9 mins
    • 694 MB
    306-Stepwise-Tuning-Cls.mov
    • 15 mins
    • 1.1 GB
    307-Stepwise-Decision-Tree.mov
    • 5 mins
    • 252 MB
    308-Regression-Data.mov
    • 2 mins
    • 93.6 MB
    309-Default-XGB-Regression.mov
    • 2 mins
    • 131 MB
    310-Overfitting-Reg.mov
    • 4 mins
    • 251 MB
    311-Objectives-Reg.mov
    • 1 min
    • 37.3 MB
    312-Stepwise-Tuning-Reg.mov
    • 4 mins
    • 96 MB
    313-Conclusion.mov
    • 1 min
    • 57.2 MB

    Week 4: Model and Data Evaluation

    402-Tuned-Classifier.mov
    • 3 mins
    • 168 MB
    403-Classification-Metrics.mov
    • 5 mins
    • 390 MB
    404-Confusion-Matrix.mov
    • 2 mins
    • 65.3 MB
    405-ROC.mov
    • 13 mins
    • 1010 MB
    406-Precision-Recall-Curve.mov
    • 8 mins
    • 524 MB
    407-Cost-Model.mov
    • 6 mins
    • 490 MB
    408-Learning-Curve.mov
    • 3 mins
    • 196 MB
    409-Missing-Values.mov
    • 3 mins
    • 168 MB
    410-Duplicate-Values.mov
    • 8 mins
    • 314 MB
    411-Outliers.mov
    • 5 mins
    • 190 MB
    412-PCA.mov
    • 7 mins
    • 451 MB
    413-Regression.mov
    • 2 mins
    • 108 MB
    414-Correlation.mov
    • 7 mins
    • 502 MB
    415-Residual-Plots.mov
    • 4 mins
    • 230 MB
    416-Residual-Analysis.mov
    • 3 mins
    • 178 MB
    417-Residual-Metrics.mov
    • 6 mins
    • 435 MB
    418-Learning-Curve.mov
    • 5 mins
    • 231 MB
    419-Missing-Values.mov
    • 3 mins
    • 214 MB
    420-Duplicates.mov
    • 8 mins
    • 474 MB
    421-Outliers.mov
    • 4 mins
    • 259 MB
    422-PCA.mov
    • 7 mins
    • 241 MB
    423-Conclusion.mov
    • 1 min
    • 53.3 MB

    Week 5: Interactions and Constraints

    501-Load-Regression.mov
    • 5 mins
    • 402 MB
    502-Feature-Importance.mov
    • 14 mins
    • 1.13 GB
    503-SHAP.mov
    • 26 mins
    • 2.1 GB
    504-PDP.mov
    • 5 mins
    • 334 MB
    505-Monotonic-Constraints.mov
    • 3 mins
    • 199 MB
    506-Classification.mov
    • 1 min
    • 13.4 MB
    507-Feature-Importance.mov
    • 2 mins
    • 87 MB
    508-SHAP.mov
    • 6 mins
    • 410 MB
    509-Monotonic-Constraints.mov
    • 2 mins
    • 134 MB
    510-Conclusion.mov
    • 1 min
    • 27.5 MB

    Week 6: Problematic Samples

    601-Kfold.mov
    • 16 mins
    • 659 MB
    602-PCA.mov
    • 5 mins
    • 258 MB
    603-Dupes.mov
    • 5 mins
    • 285 MB
    604-Sample-Weights.mov
    • 6 mins
    • 434 MB
    605-Regression.mov
    • 1 min
    • 15.8 MB
    606-Kfold.mov
    • 5 mins
    • 149 MB
    607-PCA.mov
    • 6 mins
    • 317 MB
    608-Sample-Weights.mov
    • 3 mins
    • 221 MB