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Category:
Language:
English
Total Size:
926.5 MB
Info Hash:
9AF4D2F5B31E430726AA38D60523C4BD15E48720
Added By:
Added:
July 31, 2025, 4:54 a.m.
Stats:
|
(Last updated: July 31, 2025, 4:55 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 1 -Course Introduction.mp4 | 13.5 MB |
| 1 -Introduction.mp4 | 7.4 MB |
| 2 -Loan Application Process.mp4 | 5.4 MB |
| 3 -Credit Score.mp4 | 10.3 MB |
| 4 -Credit Scoring.mp4 | 4.6 MB |
| 5 -Risk-Based Pricing.mp4 | 8.5 MB |
| 1 -Introduction.mp4 | 767.7 KB |
| 2 -Installing Jupyter Notebook Using Anaconda.mp4 | 6.5 MB |
| 2 -httpswww.url | 56 bytes |
| 3 -Jupyter Notebook Interface.mp4 | 35.7 MB |
| 4 -Key Python Libraries for Data Analysis.mp4 | 25.6 MB |
| 4 -check_libraries.ipynb | 57.2 KB |
| 4 -matplotlib.url | 74 bytes |
| 4 -pandas.url | 48 bytes |
| 4 -seaborn.url | 49 bytes |
| 5 -Dataset Analysis.mp4 | 22.0 MB |
| 5 -credit_scoring_dataset.csv | 1.7 MB |
| 5 -demo_eda.ipynb | 334.5 KB |
| 1 -Introduction.mp4 | 714.6 KB |
| 10 -Logistic Regression Classifier.mp4 | 24.2 MB |
| 11 -Balancing False Positives and False Negatives.mp4 | 7.7 MB |
| 12 -Logistic Regression Classifier – demo.mp4 | 78.6 MB |
| 12 -credit_scoring_dataset.csv | 1.7 MB |
| 12 -logistic_regression.ipynb | 87.6 KB |
| 13 -DecisionTreeClassifier.url | 113 bytes |
| 13 -Random Forest.mp4 | 50.5 MB |
| 13 -RandomForestClassifier.url | 117 bytes |
| 13 -decision_tree_visualization.ipynb | 687.9 KB |
| 14 -Decision Tree Structure.mp4 | 12.1 MB |
| 14 -decision_tree_visualization.ipynb | 687.9 KB |
| 15 -Random Forest – demo.mp4 | 62.4 MB |
| 15 -random_forest.ipynb | 129.2 KB |
| 16 -Scikit-learn Pipeline.mp4 | 6.5 MB |
| 17 -Scikit-learn Pipeline – demo.mp4 | 89.7 MB |
| 17 -random_forest_pipeline.ipynb | 118.8 KB |
| 18 -Saving and Loading Machine Learning Models for Predictions.mp4 | 12.3 MB |
| 19 -Predictions with Random Forest Pipeline – demo.mp4 | 10.9 MB |
| 19 -random_forest_pipeline_predictions.ipynb | 8.7 KB |
| 2 -Exploring the Credit Scoring Dataset.mp4 | 9.0 MB |
| 2 -essential_features_for_effective_credit_scoring.ipynb | 20.0 KB |
| 20 -k-fold cross-validation.mp4 | 28.8 MB |
| 21 -k-fold cross-validation – demo.mp4 | 70.7 MB |
| 21 -random_forest_kfold.ipynb | 8.7 KB |
| 22 -ROC, AUC, and Cost-Based Metrics.mp4 | 33.4 MB |
| 22 -auc_and_roc_curve.ipynb | 65.0 KB |
| 23 -Divergence Analysis.mp4 | 24.5 MB |
| 23 -divergence_analysis.ipynb | 158.8 KB |
| 24 -Risk-Based Grouping.mp4 | 92.4 MB |
| 24 -data.joblib | 969.0 KB |
| 24 -rf_model.joblib | 27.5 MB |
| 24 -risk_based_grouping.ipynb | 168.2 KB |
| 25 -Wrapping Up Key Takeaways and Next Steps.mp4 | 14.6 MB |
| 3 -Types of Machine Learning.mp4 | 18.0 MB |
| 4 -Machine Learning Workflow Overview.mp4 | 20.3 MB |
| 5 -Introduction to Scikit-Learn.mp4 | 39.6 MB |
| 6 -Confusion Matrix.mp4 | 9.1 MB |
| 7 -Implications of False Positives in Credit Scoring.mp4 | 10.6 MB |
| 8 -Implications of False Negatives in Credit Scoring.mp4 | 9.7 MB |
| 9 -Performance Metrics.mp4 | 15.7 MB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
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553.1 MB
[0
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3]
2023-10-23
| Uploaded by freecoursewb | Size 553.1 MB | Health [ 0 /3 ] | Added 2023-10-23 |
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447.5 MB
[0
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0]
2023-10-23
| Uploaded by freecoursewb | Size 447.5 MB | Health [ 0 /0 ] | Added 2023-10-23 |
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345.9 MB
[5
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1]
2023-10-22
| Uploaded by freecoursewb | Size 345.9 MB | Health [ 5 /1 ] | Added 2023-10-22 |
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926.5 MB
[1
/
5]
2025-07-31
| Uploaded by freecoursewb | Size 926.5 MB | Health [ 1 /5 ] | Added 2025-07-31 |
NOTE
SOURCE: Udemy Credit Scoring with Machine Learning A Practical Guide
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