Python Data Products for Predictive Analytics Specialization |
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Python Data Products for Predictive Analytics Specialization |
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2.9 GB |
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Total Files |
478 |
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Last Seen |
2025-04-04 23:35 |
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Hash |
C9683176253EFF3F869EFD4430D1DD1D92D95617 |
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02_recommender-systems-versus-other-forms-of-supervised-learning.mp4 |
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03_developing-a-data-product-strategy_PDP_Course1_Slides.pdf |
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02_data-product-examples-in-enterprise_PDP_Course1_Slides.pdf |
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04_our-case-study-recommender-systems_RecommenderSystems.pdf |
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01_extracting-simple-statistics-from-datasets_PDP_Course1_Slides.pdf |
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/.../02_week-2-features/01_features/ |
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05_supplementary-notebook-for-features_Supplementary_Features_Notebook.ipynb |
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/.../04_classification-diagnostics/ |
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02_classification-diagnostics-precision-and-recall_PDP_Course3_Slides.pdf |
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01_classification-diagnostics-accuracy-and-error_PDP_Course3_Slides.pdf |
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/.../01_setting-up-a-codebase/ |
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01_setting-up-a-codebase-for-evaluation-and-validation.en.srt |
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01_setting-up-a-codebase-for-evaluation-and-validation.en.txt |
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01_setting-up-a-codebase-for-evaluation-and-validation_PDP_Course3_Slides.pdf |
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/.../03_introduction-to-latent-factor-models/ |
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/.../03_supervised-learning/ |
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01_introduction-to-supervised-learning_PDP_Course2_Slides.pdf |
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/.../02_processing-different-data-types/ |
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01_processing-text-and-strings-in-python_PDP_Course1_Slides.pdf |
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02_processing-times-and-dates-in-python_PDP_Course1_Slides.pdf |
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/.../02_regularization-and-evaluating-a-model/ |
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02_adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model.en.srt |
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02_adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model.en.txt |
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02_adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model.mp4 |
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02_adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model_PDP_Course3_Slides.pdf |
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03_evaluating-classifiers-for-ranking_PDP_Course3_Slides.pdf |
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01_model-complexity-and-regularization_PDP_Course3_Slides.pdf |
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/.../04_week-4-python-libraries-and-toolkits/02_matplotlib/ |
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01_introduction-to-data-visualization_PDP_Course1_Slides.pdf |
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03_processing-structured-data-in-python_PDP_Course1_Slides.pdf |
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/.../03_quiz-week-2-assessment/ |
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/.../03_regression-diagnostics/ |
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04_introduction-to-support-vector-machines_Final_Course2.zip |
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01_supervised-learning-classification_PDP_Course2_Slides.pdf |
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04_introduction-to-support-vector-machines_PDP_Course2_Slides.pdf |
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03_classification-logistic-regression_PDP_Course2_Slides.pdf |
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02_theorems-about-training-testing-and-validation_PDP_Course3_Slides.pdf |
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02_similarity-based-recommender-for-rating-prediction.en.txt |
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/.../01_week-1-supervised-learning-regression/04_regression/ |
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02_introduction-to-training-and-testing_PDP_Course2_Slides.pdf |
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/.../02_pipelines-in-python/ |
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02_guidelines-on-the-implementation-of-predictive-pipelines.mp4 |
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01_implementing-a-regularization-pipeline-in-python_PDP_Course3_Slides.pdf |
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/.../03_deploying-recommender-systems/01_vids/ |
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03_setting-up-your-workspace-with-docker-django_instructions.html |
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/.../01_course-information/ |
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/.../01_project-4-recommender-system/ |
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/.../deploying-machine-learning-models/06_Resources/01_notebooks/ |
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01_introduction-to-course-3-meaningful-predictive-modeling.en.txt |
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04_optional-additional-resources-and-recommended-readings_instructions.html |
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01_introduction-to-course-3-meaningful-predictive-modeling.mp4 |
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/.../03_quiz-week-3-assessment/ |
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/.../01_project-3-validating-predictions-from-data/ |
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/.../02_course-essentials/ |
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