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Coursera Applied Data Science with Python

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Added Saturday 1st July 2023 03:40:40 PM (3 years ago)
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Torrent Files (665)
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03_small-world-networks.mp453.0 MB
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01__1.1_Networks_Everywhere.pdf7.7 MB
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05_heatmaps.mp47.6 MB
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04_introduction-to-time-series.mp47.6 MB
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07_demonstration-regex-with-pandas-and-named-groups.mp47.1 MB
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01__3.3_Basic_Page_Rank.pdf6.8 MB
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01__2.4_Network_Robustness.pdf6.7 MB
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01_time-series-examples.mp46.5 MB
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01__3.6_Centrality_Examples.pdf6.3 MB
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02_preparing-features-and-labels.mp46.0 MB
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01__4.3_Link_Prediction.pdf5.9 MB
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03_preparing-features-and-labels.mp45.8 MB
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13_combining-our-tools-for-analysis.mp45.7 MB
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04_about-the-professor-christopher-brooks.mp45.5 MB
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01_basic-natural-language-processing.mp45.4 MB
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01__02-adspy-module2-supervised1.pdf5.1 MB
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08_real-data-sunspots.mp45.1 MB
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01__4.2_Small_World_Networks.pdf5.0 MB
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03_introduction-to-text-mining.mp44.9 MB
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04_bi-directional-lstms.mp44.7 MB
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01_becoming-an-independent-data-scientist.mp44.5 MB
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01_conclusion.mp44.5 MB
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10_more-on-single-layer-neural-network.mp44.4 MB
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01__4.1_Preferential_Attachment_Model.pdf4.4 MB
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02_conceptual-overview.mp44.2 MB
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01_introduction.mp44.2 MB
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06_train-validation-and-test-sets.mp44.2 MB
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01__Week1_Slides_Final.pdf4.2 MB
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01_week-4-a-conversation-with-andrew-ng.mp44.1 MB
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01__2.3_Connected_Components.pdf3.4 MB
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01__3.4_Scaled_Page_Rank.pdf3.4 MB
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13_more-on-lstm.mp43.4 MB
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08_moving-average-and-differencing.mp43.2 MB
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09_prediction.mp43.2 MB
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01__01-adspy-module1-basics.pdf3.1 MB
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06_feeding-windowed-dataset-into-neural-network.mp43.0 MB
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01__3.2_Betweenness_Centrality.pdf2.7 MB
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01__1.2_Network_Definition_and_Vocabulary.pdf2.7 MB
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03_shape-of-the-inputs-to-the-rnn.mp42.7 MB
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07_metrics-for-evaluating-performance.mp42.6 MB
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01__2.1_Clustering_Coefficient.pdf2.6 MB
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02_machine-learning-applied-to-time-series.mp42.5 MB
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01__05-adspy-unsupervised.pdf2.4 MB
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01__04-adspy-module4-supervised2.pdf2.3 MB
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01__2.2_Distance_Measures.pdf2.2 MB
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01__3.1_Degree_and_Closeness_Centrality.pdf2.2 MB
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05_lambda-layers.mp42.2 MB
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06_the-small-world-phenomenon-optional_networks-book-ch02.pdf2.1 MB
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01__1.4_Bipartite_Graphs.pdf2.0 MB
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02_convolutions.mp41.9 MB
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01__03-adspy-module3-evaluation.pdf1.8 MB
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04_outputting-a-sequence.mp41.7 MB
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15_module-4-quiz_exam.html1.6 MB
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09_trailing-versus-centered-windows.mp41.6 MB
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06_the-small-world-phenomenon-optional_networks-book-ch20.pdf1.5 MB
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01__1.3_Node_and_Edge_Attributes.pdf1.5 MB
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02_congratulations.mp41.4 MB
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01__1.1_Introduction_to_Text_Mining.pdf1.3 MB
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06_module-2-quiz_exam.html1.1 MB
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12_leakage-in-data-mining-formulation-detection-and-avoidance-optional_cs670_Tran_PreferredPaper_LeakingInDataMining.pdf847.6 KB
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08_machine-learning-on-time-windows.mp4723.7 KB
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01__resources.html701.2 KB
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01__resources.html700.6 KB
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01__resources.html700.6 KB
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01__4.3_Generative_Models_and_LDA.pdf697.6 KB
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01__1.4_Internationalization_and_Issues_with_Non-ASCII_Characters.pdf670.4 KB
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05_module-4-quiz_exam.html669.9 KB
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01__3.5_Support_Vector_Machines.pdf592.4 KB
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15_module-2-quiz_exam.html554.3 KB
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01__Week3_Slides_Final.pdf525.6 KB
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01__resources.html523.2 KB
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01__4.4_Information_Extraction.pdf518.5 KB
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