Download Udemy - Credit Scoring with Machine Learning - A Practical Guide Torrent

Torrent Contents Size: 926.5 MB

Udemy - Credit Scoring with Machine Learning - A Practical Guide

▼ show more 46 files

1 -Course Introduction.mp4	MP4	13.5 MB
1 -Introduction.mp4	MP4	714.6 KB
10 -Logistic Regression Classifier.mp4	MP4	24.2 MB
11 -Balancing False Positives and False Negatives.mp4	MP4	7.7 MB
12 -Logistic Regression Classifier – demo.mp4	MP4	78.6 MB
12 -credit_scoring_dataset.csv	CSV	1.7 MB
12 -logistic_regression.ipynb	IPYNB	87.6 KB
13 -DecisionTreeClassifier.url	URL	102.4 B
13 -Random Forest.mp4	MP4	50.5 MB
13 -RandomForestClassifier.url	URL	102.4 B
13 -decision_tree_visualization.ipynb	IPYNB	687.9 KB
14 -Decision Tree Structure.mp4	MP4	12.1 MB
14 -decision_tree_visualization.ipynb	IPYNB	687.9 KB
15 -Random Forest – demo.mp4	MP4	62.4 MB
15 -random_forest.ipynb	IPYNB	129.2 KB
16 -Scikit-learn Pipeline.mp4	MP4	6.5 MB
17 -Scikit-learn Pipeline – demo.mp4	MP4	89.7 MB
17 -random_forest_pipeline.ipynb	IPYNB	118.8 KB
18 -Saving and Loading Machine Learning Models for Predictions.mp4	MP4	12.3 MB
19 -Predictions with Random Forest Pipeline – demo.mp4	MP4	10.9 MB
19 -random_forest_pipeline_predictions.ipynb	IPYNB	8.7 KB
2 -Exploring the Credit Scoring Dataset.mp4	MP4	9 MB
2 -Installing Jupyter Notebook Using Anaconda.mp4	MP4	6.5 MB
2 -Loan Application Process.mp4	MP4	5.4 MB
2 -essential_features_for_effective_credit_scoring.ipynb	IPYNB	20 KB
2 -httpswww.url	URL	102.4 B
20 -k-fold cross-validation.mp4	MP4	28.8 MB
21 -k-fold cross-validation – demo.mp4	MP4	70.7 MB
21 -random_forest_kfold.ipynb	IPYNB	8.7 KB
22 -ROC, AUC, and Cost-Based Metrics.mp4	MP4	33.4 MB
22 -auc_and_roc_curve.ipynb	IPYNB	65 KB
23 -Divergence Analysis.mp4	MP4	24.5 MB
23 -divergence_analysis.ipynb	IPYNB	158.8 KB
24 -Risk-Based Grouping.mp4	MP4	92.4 MB
24 -data.joblib	JOBLIB	969 KB
24 -rf_model.joblib	JOBLIB	27.5 MB
24 -risk_based_grouping.ipynb	IPYNB	168.2 KB
25 -Wrapping Up Key Takeaways and Next Steps.mp4	MP4	14.6 MB
3 -Credit Score.mp4	MP4	10.3 MB
3 -Jupyter Notebook Interface.mp4	MP4	35.7 MB
3 -Types of Machine Learning.mp4	MP4	18 MB
4 -Credit Scoring.mp4	MP4	4.6 MB
4 -Key Python Libraries for Data Analysis.mp4	MP4	25.6 MB
4 -Machine Learning Workflow Overview.mp4	MP4	20.3 MB
4 -check_libraries.ipynb	IPYNB	57.2 KB
4 -matplotlib.url	URL	102.4 B
4 -pandas.url	URL	0 B
4 -seaborn.url	URL	0 B
5 -Dataset Analysis.mp4	MP4	22 MB
5 -Introduction to Scikit-Learn.mp4	MP4	39.6 MB
5 -Risk-Based Pricing.mp4	MP4	8.5 MB
5 -credit_scoring_dataset.csv	CSV	1.7 MB
5 -demo_eda.ipynb	IPYNB	334.5 KB
6 -Confusion Matrix.mp4	MP4	9.1 MB
7 -Implications of False Positives in Credit Scoring.mp4	MP4	10.6 MB
8 -Implications of False Negatives in Credit Scoring.mp4	MP4	9.7 MB
9 -Performance Metrics.mp4	MP4	15.7 MB
Bonus Resources.txt	TXT	102.4 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Credit Scoring with Machine Learning - A Practical Guide

Torrent Contents Size: 926.5 MB

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