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Download Python Data Products for Predictive Analytics Specialization

Python Data Products for Predictive Analytics Specialization

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Python Data Products for Predictive Analytics Specialization

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Total Size

2.9 GB

Total Files

478

Last Seen

2024-10-06 23:44

Hash

C9683176253EFF3F869EFD4430D1DD1D92D95617

/.../02_recommender-systems/

03_collaborative-filtering-based-recommendation.mp4

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03_collaborative-filtering-based-recommendation.en.srt

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03_collaborative-filtering-based-recommendation.en.txt

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02_recommender-systems-versus-other-forms-of-supervised-learning.en.srt

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02_recommender-systems-versus-other-forms-of-supervised-learning.en.txt

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01_introduction-to-recommender-systems.en.srt

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01_introduction-to-recommender-systems.en.txt

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02_recommender-systems-versus-other-forms-of-supervised-learning.mp4

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01_introduction-to-recommender-systems.mp4

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TutsNode.net.txt

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[TGx]Downloaded from torrentgalaxy.to .txt

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/.../01_course-information/

02_course-materials_Final_Course1.zip

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02_course-materials_instructions.html

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01_syllabus_instructions.html

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03_set-up-your-system_instructions.html

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02_course-materials_PDP_Course1_Slides.pdf

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/.../03_introducing-python/

04_optional-python-additional-resources-and-recommended-readings_python_functions.htm

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03_optional-python-how-to-run_instructions.html

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05_livecoding-getting-started-with-jupyter.en.srt

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01_python-and-jupyter-basics.en.srt

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02_python-recap.en.srt

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02_python-recap_PDP_Course1_Slides.pdf

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02_python-recap.en.txt

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06_review-python-and-jupyter_quiz.html

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04_optional-python-additional-resources-and-recommended-readings_instructions.html

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01_python-and-jupyter-basics_PDP_Course1_Slides.pdf

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05_livecoding-getting-started-with-jupyter.mp4

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01_python-and-jupyter-basics.mp4

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02_python-recap.mp4

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/.../02_implementing-latent-factor-models/

01_implementing-a-latent-factor-model-part-1.en.srt

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02_implementing-a-latent-factor-model-part-2.en.srt

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02_implementing-a-latent-factor-model-part-2.en.txt

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01_implementing-a-latent-factor-model-part-1.mp4

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02_implementing-a-latent-factor-model-part-2.mp4

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/.../01_data-filtering-and-cleaning/

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02_review-data-filtering-and-cleaning_quiz.html

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01_data-filtering-and-cleaning_PDP_Course1_Slides.pdf

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01_data-filtering-and-cleaning.mp4

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/.../02_what-is-a-data-product/

01_what-is-a-data-product_PDP_Course1_Slides.pdf

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03_developing-a-data-product-strategy_PDP_Course1_Slides.pdf

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04_our-case-study-recommender-systems_instructions.html

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01_what-is-a-data-product.en.txt

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02_data-product-examples-in-enterprise.en.txt

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05_review-data-products_quiz.html

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02_data-product-examples-in-enterprise_PDP_Course1_Slides.pdf

38.3 MB

03_developing-a-data-product-strategy.mp4

16.5 MB

02_data-product-examples-in-enterprise.mp4

13.1 MB

01_what-is-a-data-product.mp4

12.2 MB

04_our-case-study-recommender-systems_RecommenderSystems.pdf

1.4 MB

/.../02_recap-mathematical-notation/

01_recap-mathematical-notation_Recap_on_Mathematical_Notation.pdf

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01_recap-mathematical-notation_instructions.html

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/.../deploying-machine-learning-models/05_capstone/01_capstone/

02_capstone-overview_Capstone-Description.pdf

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01_description-of-capstone-tasks.en.srt

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02_capstone-overview_CAPSTONE.zip

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01_description-of-capstone-tasks.en.txt

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02_capstone-overview_instructions.html

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01_description-of-capstone-tasks.mp4

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/.../02_capstone-materials/

01__Capstone-Description.pdf

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01__CAPSTONE.zip

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01__resources.html

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/.../02_simple-statistics/

01_extracting-simple-statistics-from-datasets.en.srt

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01_extracting-simple-statistics-from-datasets.en.txt

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02_simple-statistics-live-coding.en.srt

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02_simple-statistics-live-coding.en.txt

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03_review-simple-statistics_quiz.html

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01_extracting-simple-statistics-from-datasets_PDP_Course1_Slides.pdf

38.3 MB

02_simple-statistics-live-coding_PDP_Course1_Slides.pdf

38.3 MB

01_extracting-simple-statistics-from-datasets.mp4

21.7 MB

02_simple-statistics-live-coding.mp4

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/.../02_week-2-features/01_features/

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02_features-from-temporal-data.en.srt

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01_features-from-categorical-data.en.srt

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01_features-from-categorical-data.en.txt

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02_features-from-temporal-data.en.txt

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03_feature-transformations.en.srt

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05_supplementary-notebook-for-features_Supplementary_Features_Notebook.ipynb

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03_feature-transformations.en.txt

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05_supplementary-notebook-for-features_instructions.html

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04_missing-values_Final_Course2.zip

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01_features-from-categorical-data_Final_Course2.zip

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03_feature-transformations_Final_Course2.zip

24.2 MB

02_features-from-temporal-data_Final_Course2.zip

24.2 MB

01_features-from-categorical-data.mp4

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02_features-from-temporal-data_PDP_Course2_Slides.pdf

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01_features-from-categorical-data_PDP_Course2_Slides.pdf

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04_missing-values_PDP_Course2_Slides.pdf

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04_missing-values.mp4

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02_features-from-temporal-data.mp4

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/.../04_classification-diagnostics/

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01_classification-diagnostics-accuracy-and-error.en.srt

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01_classification-diagnostics-accuracy-and-error.en.txt

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02_classification-diagnostics-precision-and-recall.mp4

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01_classification-diagnostics-accuracy-and-error.mp4

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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.txt

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01_setting-up-a-codebase-for-evaluation-and-validation.mp4

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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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02_latent-factor-models-part-2.en.srt

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01_latent-factor-models-part-1.mp4

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02_latent-factor-models-part-2.mp4

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/.../03_supervised-learning/

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24.2 MB

02_supervised-learning-regression_Final_Course2.zip

24.2 MB

01_introduction-to-supervised-learning.mp4

21.0 MB

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20.6 MB

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/.../02_processing-different-data-types/

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/.../02_regularization-and-evaluating-a-model/

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01_model-complexity-and-regularization.mp4

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02_adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model.mp4

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/.../04_week-4-python-libraries-and-toolkits/02_matplotlib/

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/.../03_urllib-and-beautifulsoup/

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/.../03_quiz-week-2-assessment/

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/.../03_regression-diagnostics/

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01_motivation-behind-the-mse.mp4

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/.../03_week-3-classification/01_classification/

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03_classification-logistic-regression_Final_Course2.zip

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02_classification-nearest-neighbors_Final_Course2.zip

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01_supervised-learning-classification_Final_Course2.zip

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04_introduction-to-support-vector-machines_Final_Course2.zip

24.2 MB

04_introduction-to-support-vector-machines.mp4

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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.mp4

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01_supervised-learning-classification.mp4

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02_classification-nearest-neighbors.mp4

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/.../02_gradient-descent/

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01_gradient-descent-in-python_Final_Course2.zip

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02_gradient-descent-in-tensorflow_Final_Course2.zip

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01_gradient-descent-in-python.mp4

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02_gradient-descent-in-tensorflow.mp4

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/.../03_week-3-validation-and-pipelines/01_validation/

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02_theorems-about-training-testing-and-validation.mp4

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01_validation.mp4

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01_validation_PDP_Course3_Slides.pdf

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/.../01_similarity-based-recommenders/

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01_implementing-a-similarity-based-recommender.en.srt

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02_similarity-based-recommender-for-rating-prediction.en.txt

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01_implementing-a-similarity-based-recommender.mp4

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02_similarity-based-recommender-for-rating-prediction.mp4

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/.../01_week-1-supervised-learning-regression/04_regression/

01_regression-in-python.en.srt

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03_autoregression_Final_Course2.zip

24.2 MB

01_regression-in-python_Final_Course2.zip

24.2 MB

02_time-series-regression_Final_Course2.zip

24.2 MB

02_time-series-regression_PDP_Course2_Slides.pdf

20.6 MB

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20.6 MB

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01_regression-in-python.mp4

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02_time-series-regression.mp4

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/.../01_more-on-classification/

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02_introduction-to-training-and-testing.en.srt

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01_classification-in-python.en.txt

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01_classification-in-python_Final_Course2.zip

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02_introduction-to-training-and-testing_Final_Course2.zip

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01_classification-in-python_PDP_Course2_Slides.pdf

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02_introduction-to-training-and-testing_PDP_Course2_Slides.pdf

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01_classification-in-python.mp4

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02_introduction-to-training-and-testing.mp4

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01_implementing-a-regularization-pipeline-in-python.en.srt

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02_guidelines-on-the-implementation-of-predictive-pipelines.en.txt

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01_implementing-a-regularization-pipeline-in-python.mp4

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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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02_intro-to-django.en.srt

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01_intro-to-web-server-frameworks-in-python.en.srt

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02_intro-to-django.en.txt

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04_flask.mp4

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02_intro-to-django.mp4

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01_intro-to-web-server-frameworks-in-python.mp4

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01__Final_Course4.zip

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02_review-numpy_quiz.html

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01_matrix-processing-and-numpy.en.srt

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01_matrix-processing-and-numpy.en.txt

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01_matrix-processing-and-numpy_PDP_Course1_Slides.pdf

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01_matrix-processing-and-numpy.mp4

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01__PDP_Course1_Slides.pdf

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01_introduction-to-course-3-meaningful-predictive-modeling.mp4

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01_project-description_instructions.html

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