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Python Data Products for Predictive Analytics Specialization
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[TutsNode.net] - Python Data Products for Predictive Analytics Specialization (Size: 2.66 GB) (Files: 478)
[TutsNode.net] - Python Data Products for Predictive Analytics Specialization
deploying-machine-learning-models
01_introduction
02_recommender-systems
03_collaborative-filtering-based-recommendation.mp4
03_collaborative-filtering-based-recommendation.en.srt
03_collaborative-filtering-based-recommendation.en.txt
02_recommender-systems-versus-other-forms-of-supervised-learning.en.srt
02_recommender-systems-versus-other-forms-of-supervised-learning.en.txt
01_introduction-to-recommender-systems.en.srt
01_introduction-to-recommender-systems.en.txt
02_recommender-systems-versus-other-forms-of-supervised-learning.mp4
01_introduction-to-recommender-systems.mp4
03_introduction-to-latent-factor-models
01_latent-factor-models-part-1.en.srt
02_latent-factor-models-part-2.en.srt
01_latent-factor-models-part-1.en.txt
02_latent-factor-models-part-2.en.txt
01_latent-factor-models-part-1.mp4
02_latent-factor-models-part-2.mp4
01_course-information
02_course-materials_Final_Course4.zip
02_course-materials_instructions.html
03_setting-up-your-system_instructions.html
01_syllabus_instructions.html
02_implementing-recommender-systems
02_implementing-latent-factor-models
01_implementing-a-latent-factor-model-part-1.en.srt
02_implementing-a-latent-factor-model-part-2.en.srt
01_implementing-a-latent-factor-model-part-1.en.txt
02_implementing-a-latent-factor-model-part-2.en.txt
01_implementing-a-latent-factor-model-part-1.mp4
02_implementing-a-latent-factor-model-part-2.mp4
01_similarity-based-recommenders
02_similarity-based-recommender-for-rating-prediction.en.srt
01_implementing-a-similarity-based-recommender.en.srt
01_implementing-a-similarity-based-recommender.en.txt
02_similarity-based-recommender-for-rating-prediction.en.txt
01_implementing-a-similarity-based-recommender.mp4
02_similarity-based-recommender-for-rating-prediction.mp4
05_capstone
01_capstone
02_capstone-overview_Capstone-Description.pdf
01_description-of-capstone-tasks.en.srt
02_capstone-overview_CAPSTONE.zip
01_description-of-capstone-tasks.en.txt
02_capstone-overview_instructions.html
01_description-of-capstone-tasks.mp4
06_Resources
02_capstone-materials
01__Capstone-Description.pdf
01__CAPSTONE.zip
01__resources.html
01_notebooks
01__Final_Course4.zip
01__resources.html
03_course-4-ppt-slides
01__resources.html
01__Course_4.pdf
03_deploying-recommender-systems
01_vids
04_flask.en.srt
02_intro-to-django.en.srt
01_intro-to-web-server-frameworks-in-python.en.srt
04_flask.en.txt
02_intro-to-django.en.txt
01_intro-to-web-server-frameworks-in-python.en.txt
04_flask.mp4
02_intro-to-django.mp4
01_intro-to-web-server-frameworks-in-python.mp4
03_setting-up-your-workspace-with-docker-django_instructions.html
04_project-4-recommender-system
01_project-4-recommender-system
01_project-description_Final_Course4.zip
02_how-to-find-a-dataset_instructions.html
01_project-description_instructions.html
basic-data-processing-visualization-python
01_week-1-introduction-to-data-products
01_course-information
02_course-materials_Final_Course1.zip
02_course-materials_instructions.html
01_syllabus_instructions.html
03_set-up-your-system_instructions.html
02_course-materials_PDP_Course1_Slides.pdf
03_introducing-python
04_optional-python-additional-resources-and-recommended-readings_python_
03_optional-python-how-to-run_instructions.html
05_livecoding-getting-started-with-jupyter.en.srt
01_python-and-jupyter-basics.en.srt
01_python-and-jupyter-basics.en.txt
02_python-recap.en.srt
05_livecoding-getting-started-with-jupyter.en.txt
02_python-recap_PDP_Course1_Slides.pdf
02_python-recap.en.txt
06_review-python-and-jupyter_quiz.html
04_optional-python-additional-resources-and-recommended-readings_instruc
01_python-and-jupyter-basics_PDP_Course1_Slides.pdf
05_livecoding-getting-started-with-jupyter.mp4
01_python-and-jupyter-basics.mp4
02_python-recap.mp4
02_what-is-a-data-product
01_what-is-a-data-product_PDP_Course1_Slides.pdf
03_developing-a-data-product-strategy_PDP_Course1_Slides.pdf
04_our-case-study-recommender-systems_instructions.html
03_developing-a-data-product-strategy.en.srt
01_what-is-a-data-product.en.srt
02_data-product-examples-in-enterprise.en.srt
03_developing-a-data-product-strategy.en.txt
01_what-is-a-data-product.en.txt
02_data-product-examples-in-enterprise.en.txt
05_review-data-products_quiz.html
02_data-product-examples-in-enterprise_PDP_Course1_Slides.pdf
03_developing-a-data-product-strategy.mp4
02_data-product-examples-in-enterprise.mp4
01_what-is-a-data-product.mp4
04_our-case-study-recommender-systems_RecommenderSystems.pdf
03_week-3-data-processing-in-python
01_data-filtering-and-cleaning
01_data-filtering-and-cleaning.en.txt
01_data-filtering-and-cleaning.en.srt
02_review-data-filtering-and-cleaning_quiz.html
01_data-filtering-and-cleaning_PDP_Course1_Slides.pdf
01_data-filtering-and-cleaning.mp4
02_processing-different-data-types
02_processing-times-and-dates-in-python.en.srt
01_processing-text-and-strings-in-python.en.srt
03_livecoding-time-and-date-data.en.srt
02_processing-times-and-dates-in-python.en.txt
01_processing-text-and-strings-in-python.en.txt
03_livecoding-time-and-date-data.en.txt
04_review-processing-different-data-types_quiz.html
01_processing-text-and-strings-in-python_PDP_Course1_Slides.pdf
02_processing-times-and-dates-in-python_PDP_Course1_Slides.pdf
02_processing-times-and-dates-in-python.mp4
01_processing-text-and-strings-in-python.mp4
03_livecoding-time-and-date-data.mp4
03_quiz-week-3-assessment
01_data-processing-in-python_exam.html
02_week-2-reading-data-in-python
02_simple-statistics
01_extracting-simple-statistics-from-datasets.en.srt
01_extracting-simple-statistics-from-datasets.en.txt
02_simple-statistics-live-coding.en.srt
02_simple-statistics-live-coding.en.txt
03_review-simple-statistics_quiz.html
01_extracting-simple-statistics-from-datasets_PDP_Course1_Slides.pdf
02_simple-statistics-live-coding_PDP_Course1_Slides.pdf
01_extracting-simple-statistics-from-datasets.mp4
02_simple-statistics-live-coding.mp4
01_csv-and-json-files
02_reading-csv-json-files.en.srt
03_processing-structured-data-in-python.en.srt
01_csv-json-files.en.srt
03_processing-structured-data-in-python_PDP_Course1_Slides.pdf
02_reading-csv-json-files.en.txt
03_processing-structured-data-in-python.en.txt
01_csv-json-files.en.txt
04_live-coding-json.en.srt
04_live-coding-json.en.txt
05_review-csv-and-json-files_quiz.html
02_reading-csv-json-files_PDP_Course1_Slides.pdf
01_csv-json-files_PDP_Course1_Slides.pdf
01_csv-json-files.mp4
02_reading-csv-json-files.mp4
03_processing-structured-data-in-python.mp4
04_live-coding-json.mp4
03_quiz-week-2-assessment
01_python-reading-data-and-simple-statistics_exam.html
04_week-4-python-libraries-and-toolkits
02_matplotlib
01_introduction-to-data-visualization.en.srt
03_live-coding-matplotlib.en.srt
02_introduction-to-matplotlib_PDP_Course1_Slides.pdf
01_introduction-to-data-visualization.en.txt
02_introduction-to-matplotlib.en.srt
03_live-coding-matplotlib.en.txt
02_introduction-to-matplotlib.en.txt
04_review-matplotlib_quiz.html
01_introduction-to-data-visualization_PDP_Course1_Slides.pdf
01_introduction-to-data-visualization.mp4
03_live-coding-matplotlib.mp4
02_introduction-to-matplotlib.mp4
03_urllib-and-beautifulsoup
01_urllib-and-beautifulsoup.en.srt
01_urllib-and-beautifulsoup.en.txt
02_review-urllib-and-beautifulsoup_quiz.html
01_urllib-and-beautifulsoup_PDP_Course1_Slides.pdf
01_urllib-and-beautifulsoup.mp4
01_numpy
02_review-numpy_quiz.html
01_matrix-processing-and-numpy.en.srt
01_matrix-processing-and-numpy.en.txt
01_matrix-processing-and-numpy_PDP_Course1_Slides.pdf
01_matrix-processing-and-numpy.mp4
04_quiz-week-4-assessment
01_python-libraries-and-toolkits_exam.html
05_final-project
01_course-summary
01_course-summary.en.txt
01_course-summary.en.srt
01_course-summary_PDP_Course1_Slides.pdf
01_course-summary.mp4
02_project-1-reading-and-manipulating-datasets-in-python
02_where-to-find-datasets_instructions.html
03_project-submission_peer_assignment_instructions.html
01_project-description_instructions.html
06_Resources
01_lecture-slides
01__resources.html
01__PDP_Course1_Slides.pdf
02_course-notebooks
01__resources.html
01__Final_Course1.zip
design-thinking-predictive-analytics-data-products
01_week-1-supervised-learning-regression
02_recap-mathematical-notation
01_recap-mathematical-notation_Recap_on_Mathematical_N
01_recap-mathematical-notation_instructions.html
03_supervised-learning
01_introduction-to-supervised-learning.en.srt
02_supervised-learning-regression.en.srt
01_introduction-to-supervised-learning.en.txt
02_supervised-learning-regression.en.txt
01_introduction-to-supervised-learning_Final_Course2.zip
02_supervised-learning-regression_Final_Course2.zip
01_introduction-to-supervised-learning.mp4
01_introduction-to-supervised-learning_PDP_Course2_Slides.pdf
02_supervised-learning-regression_PDP_Course2_Slides.pdf
02_supervised-learning-regression.mp4
04_regression
01_regression-in-python.en.srt
02_time-series-regression.en.srt
03_autoregression.en.srt
01_regression-in-python.en.txt
02_time-series-regression.en.txt
03_autoregression.en.txt
03_autoregression_Final_Course2.zip
01_regression-in-python_Final_Course2.zip
02_time-series-regression_Final_Course2.zip
02_time-series-regression_PDP_Course2_Slides.pdf
03_autoregression_PDP_Course2_Slides.pdf
01_regression-in-python_PDP_Course2_Slides.pdf
01_regression-in-python.mp4
02_time-series-regression.mp4
03_autoregression.mp4
01_course-information
03_set-up-your-system_instructions.html
01_syllabus_instructions.html
02_course-materials_instructions.html
02_course-materials_Final_Course2.zip
02_course-materials_PDP_Course2_Slides.pdf
02_week-2-features
01_features
04_missing-values.en.txt
02_features-from-temporal-data.en.srt
04_missing-values.en.srt
01_features-from-categorical-data.en.srt
01_features-from-categorical-data.en.txt
02_features-from-temporal-data.en.txt
03_feature-transformations.en.srt
05_supplementary-notebook-for-features_Supplementary_Features_Notebook.ipynb
03_feature-transformations.en.txt
05_supplementary-notebook-for-features_instructions.html
04_missing-values_Final_Course2.zip
01_features-from-categorical-data_Final_Course2.zip
03_feature-transformations_Final_Course2.zip
02_features-from-temporal-data_Final_Course2.zip
01_features-from-categorical-data.mp4
02_features-from-temporal-data_PDP_Course2_Slides.pdf
01_features-from-categorical-data_PDP_Course2_Slides.pdf
04_missing-values_PDP_Course2_Slides.pdf
03_feature-transformations_PDP_Course2_Slides.pdf
04_missing-values.mp4
02_features-from-temporal-data.mp4
03_feature-transformations.mp4
03_week-3-classification
01_classification
04_introduction-to-support-vector-machines.en.srt
03_classification-logistic-regression.en.srt
04_introduction-to-support-vector-machines.en.txt
03_classification-logistic-regression.en.txt
01_supervised-learning-classification.en.srt
02_classification-nearest-neighbors.en.srt
01_supervised-learning-classification.en.txt
02_classification-nearest-neighbors.en.txt
03_classification-logistic-regression_Final_Course2.zip
02_classification-nearest-neighbors_Final_Course2.zip
01_supervised-learning-classification_Final_Course2.zip
04_introduction-to-support-vector-machines_Final_Course2.zip
04_introduction-to-support-vector-machines.mp4
01_supervised-learning-classification_PDP_Course2_Slides.pdf
04_introduction-to-support-vector-machines_PDP_Course2_Slides.pdf
02_classification-nearest-neighbors_PDP_Course2_Slides.pdf
03_classification-logistic-regression_PDP_Course2_Slides.pdf
03_classification-logistic-regression.mp4
01_supervised-learning-classification.mp4
02_classification-nearest-neighbors.mp4
04_week-4-gradient-descent
02_gradient-descent
01_gradient-descent-in-python.en.srt
02_gradient-descent-in-tensorflow.en.srt
03_livecoding-tensorflow.en.srt
01_gradient-descent-in-python.en.txt
02_gradient-descent-in-tensorflow.en.txt
03_livecoding-tensorflow.en.txt
01_gradient-descent-in-python_Final_Course2.zip
02_gradient-descent-in-tensorflow_Final_Course2.zip
02_gradient-descent-in-tensorflow_PDP_Course2_Slides.pdf
01_gradient-descent-in-python_PDP_Course2_Slides.pdf
01_gradient-descent-in-python.mp4
02_gradient-descent-in-tensorflow.mp4
03_livecoding-tensorflow.mp4
01_more-on-classification
01_classification-in-python.en.srt
02_introduction-to-training-and-testing.en.srt
01_classification-in-python.en.txt
02_introduction-to-training-and-testing.en.txt
01_classification-in-python_Final_Course2.zip
02_introduction-to-training-and-testing_Final_Course2.zip
01_classification-in-python_PDP_Course2_Slides.pdf
02_introduction-to-training-and-testing_PDP_Course2_Slides.pdf
01_classification-in-python.mp4
02_introduction-to-training-and-testing.mp4
05_final-project
01_project-2-making-predictions-from-data
01_project-description_instructions.html
02_where-to-find-datasets_instructions.html
06_Resources
02_course-notebooks
01__resources.html
01__Final_Course2.zip
01_lecture-slides
01__resources.html
01__PDP_Course2_Slides.pdf
meaningful-predictive-modeling
01_week-1-diagnostics-for-data
04_classification-diagnostics
02_classification-diagnostics-precision-and-recall.en.srt
01_classification-diagnostics-accuracy-and-error.en.srt
02_classification-diagnostics-precision-and-recall.en.txt
01_classification-diagnostics-accuracy-and-error.en.txt
02_classification-diagnostics-precision-and-recall.mp4
01_classification-diagnostics-accuracy-and-error.mp4
02_classification-diagnostics-precision-and-recall_PDP_Course3_Slides.pdf
01_classification-diagnostics-accuracy-and-error_PDP_Course3_Slides.pdf
03_regression-diagnostics
01_motivation-behind-the-mse.en.srt
02_regression-diagnostics-mse-and-r2.en.srt
03_over-and-under-fitting.en.srt
01_motivation-behind-the-mse.en.txt
03_over-and-under-fitting.en.txt
02_regression-diagnostics-mse-and-r2.en.txt
01_motivation-behind-the-mse.mp4
02_regression-diagnostics-mse-and-r2.mp4
03_over-and-under-fitting.mp4
03_over-and-under-fitting_PDP_Course3_Slides.pdf
01_motivation-behind-the-mse_PDP_Course3_Slides.pdf
02_regression-diagnostics-mse-and-r2_PDP_Course3_Slides.pdf
01_course-introduction
01_introduction-to-course-3-meaningful-predictive-modeling.en.srt
03_setting-up-your-system_instructions.html
02_syllabus_instructions.html
01_introduction-to-course-3-meaningful-predictive-modeling.en.txt
04_optional-additional-resources-and-recommended-readings_instructions.html
01_introduction-to-course-3-meaningful-predictive-modeling.mp4
02_course-essentials
01_course-materials_instructions.html
01_course-materials_Final_Course3.zip
01_course-materials_PDP_Course3_Slides.pdf
02_week-2-codebases-regularization-and-evaluating-a-model
01_setting-up-a-codebase
01_setting-up-a-codebase-for-evaluation-and-validation.en.srt
01_setting-up-a-codebase-for-evaluation-and-validation.en.txt
01_setting-up-a-codebase-for-evaluation-and-validation.mp4
01_setting-up-a-codebase-for-evaluation-and-validation_PDP_Cour
02_regularization-and-evaluating-a-model
01_model-complexity-and-regularization.en.srt
02_adding-a-regularizer-to-our-model-and-evalua
01_model-complexity-and-regularization.en.txt
03_evaluating-classifiers-for-ranking.en.srt
03_evaluating-classifiers-for-ranking.en.txt
01_model-complexity-and-regularization.mp4
03_evaluating-classifiers-for-ranking.mp4
03_evaluating-classifiers-for-ranking_PDP_Cours
01_model-complexity-and-regularization_PDP_Cour
03_week-3-validation-and-pipelines
01_validation
02_theorems-about-training-testing-and-validation.en.srt
01_validation.en.srt
02_theorems-about-training-testing-and-validation.en.txt
01_validation.en.txt
02_theorems-about-training-testing-and-validation.mp4
01_validation.mp4
01_validation_PDP_Course3_Slides.pdf
02_theorems-about-training-testing-and-validation_PDP_Course3_Slides.pdf
02_pipelines-in-python
02_guidelines-on-the-implementation-of-predictive-pipelines.en.srt
01_implementing-a-regularization-pipeline-in-python.en.srt
02_guidelines-on-the-implementation-of-predictive-pipelines.en.txt
01_implementing-a-regularization-pipeline-in-python.en.txt
01_implementing-a-regularization-pipeline-in-python.mp4
02_guidelines-on-the-implementation-of-predictive-pipelines.mp4
01_implementing-a-regularization-pipeline-in-python_PDP_Course3_Slides.pdf
04_final-project
01_project-3-validating-predictions-from-data
01_project-description_instructions.html
02_where-to-find-datasets_instructions.html
TutsNode.net.txt
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