Coursera Python Data Products for Predictive Analytics Specialization

Files Included :

02 course-materials Final Course1.zip (631.29 KB)
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01 what-is-a-data-product.mp4 (11.62 MB)
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02 data-product-examples-in-enterprise.mp4 (12.46 MB)
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03 developing-a-data-product-strategy.mp4 (15.76 MB)
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01 python-and-jupyter-basics.mp4 (13.63 MB)
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02 python-recap.mp4 (10.78 MB)
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05 livecoding-getting-started-with-jupyter.mp4 (16.67 MB)
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01 csv-json-files.mp4 (18.24 MB)
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02 reading-csv-json-files.mp4 (17.38 MB)
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03 processing-structured-data-in-python.mp4 (16.08 MB)
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04 live-coding-json.mp4 (8.44 MB)
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01 extracting-simple-statistics-from-datasets.mp4 (20.71 MB)
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02 simple-statistics-live-coding.mp4 (12.97 MB)
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01 data-filtering-and-cleaning.mp4 (19.53 MB)
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01 processing-text-and-strings-in-python.mp4 (16.32 MB)
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02 processing-times-and-dates-in-python.mp4 (22.89 MB)
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03 livecoding-time-and-date-data.mp4 (12.7 MB)
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01 matrix-processing-and-numpy.mp4 (11 MB)
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01 introduction-to-data-visualization.mp4 (23.58 MB)
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02 introduction-to-matplotlib.mp4 (9.93 MB)
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03 live-coding-matplotlib.mp4 (14.21 MB)
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01 urllib-and-beautifulsoup.mp4 (26.87 MB)
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01 course-summary.mp4 (5.65 MB)
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01 Final Course1.zip (551.69 KB)
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02 course-materials Final Course4.zip (9.75 KB)
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01 introduction-to-recommender-systems.mp4 (11.54 MB)
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02 recommender-systems-versus-other-forms-of-supervised-learning.mp4 (16.85 MB)
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03 collaborative-filtering-based-recommendation.mp4 (40.31 MB)
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01 latent-factor-models-part-1.mp4 (25.21 MB)
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02 latent-factor-models-part-2.mp4 (21 MB)
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01 implementing-a-similarity-based-recommender.mp4 (19.38 MB)
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02 similarity-based-recommender-for-rating-prediction.mp4 (15.98 MB)
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01 implementing-a-latent-factor-model-part-1.mp4 (24.73 MB)
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02 implementing-a-latent-factor-model-part-2.mp4 (13.65 MB)
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01 intro-to-web-server-frameworks-in-python.mp4 (10.24 MB)
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02 intro-to-django.mp4 (12.03 MB)
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04 flask.mp4 (18.19 MB)
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01 project-description Final Course4.zip (9.75 KB)
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01 description-of-capstone-tasks.mp4 (12.87 MB)
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02 capstone-overview CAPSTONE.zip (9.14 KB)
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01 Final Course4.zip (9.75 KB)
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01 CAPSTONE.zip (8.94 KB)
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02 course-materials Final Course2.zip (23.09 MB)
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01 introduction-to-supervised-learning.mp4 (20 MB)
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01 introduction-to-supervised-learning Final Course2.zip (23.09 MB)
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02 supervised-learning-regression.mp4 (17.89 MB)
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02 supervised-learning-regression Final Course2.zip (23.09 MB)
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01 regression-in-python.mp4 (17.85 MB)
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01 regression-in-python Final Course2.zip (23.09 MB)
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02 time-series-regression.mp4 (17.76 MB)
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02 time-series-regression Final Course2.zip (23.09 MB)
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03 autoregression.mp4 (14.15 MB)
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03 autoregression Final Course2.zip (23.09 MB)
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01 features-from-categorical-data.mp4 (20.23 MB)
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01 features-from-categorical-data Final Course2.zip (23.09 MB)
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02 features-from-temporal-data.mp4 (17.35 MB)
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02 features-from-temporal-data Final Course2.zip (23.09 MB)
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03 feature-transformations.mp4 (9.74 MB)
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03 feature-transformations Final Course2.zip (23.09 MB)
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04 missing-values.mp4 (18 MB)
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04 missing-values Final Course2.zip (23.09 MB)
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01 supervised-learning-classification.mp4 (12 MB)
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01 supervised-learning-classification Final Course2.zip (23.09 MB)
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02 classification-nearest-neighbors.mp4 (9.75 MB)
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02 classification-nearest-neighbors Final Course2.zip (23.09 MB)
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03 classification-logistic-regression.mp4 (17.71 MB)
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03 classification-logistic-regression Final Course2.zip (23.09 MB)
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04 introduction-to-support-vector-machines.mp4 (19.79 MB)
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04 introduction-to-support-vector-machines Final Course2.zip (23.09 MB)
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01 classification-in-python.mp4 (13.7 MB)
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01 classification-in-python Final Course2.zip (23.09 MB)
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02 introduction-to-training-and-testing.mp4 (12.82 MB)
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02 introduction-to-training-and-testing Final Course2.zip (23.09 MB)
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01 gradient-descent-in-python.mp4 (16.48 MB)
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01 gradient-descent-in-python Final Course2.zip (23.09 MB)
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02 gradient-descent-in-tensorflow.mp4 (12.7 MB)
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02 gradient-descent-in-tensorflow Final Course2.zip (23.09 MB)
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03 livecoding-tensorflow.mp4 (9.62 MB)
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01 Final Course2.zip (23.09 MB)
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01 introduction-to-course-3-meaningful-predictive-modeling.mp4 (8.58 MB)
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01 course-materials Final Course3.zip (19.26 MB)
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01 motivation-behind-the-mse.mp4 (16.44 MB)
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02 regression-diagnostics-mse-and-r2.mp4 (13.27 MB)
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03 over-and-under-fitting.mp4 (13.09 MB)
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01 classification-diagnostics-accuracy-and-error.mp4 (21.15 MB)
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02 classification-diagnostics-precision-and-recall.mp4 (22.64 MB)
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01 setting-up-a-codebase-for-evaluation-and-validation.mp4 (25.35 MB)
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01 model-complexity-and-regularization.mp4 (20.5 MB)
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02 adding-a-regularizer-to-our-model-and-evaluating-the-regularized-model.mp4 (17.04 MB)
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03 evaluating-classifiers-for-ranking.mp4 (8.59 MB)
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01 validation.mp4 (9.73 MB)
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02 theorems-about-training-testing-and-validation.mp4 (16.91 MB)
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01 implementing-a-regularization-pipeline-in-python.mp4 (11.23 MB)
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02 guidelines-on-the-implementation-of-predictive-pipelines.mp4 (11.04 MB)
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