|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
203B |
| 01__01-adspy-module1-basics.pdf |
3.13MB |
| 01__02-adspy-module2-supervised1.pdf |
5.10MB |
| 01__03-adspy-module3-evaluation.pdf |
1.77MB |
| 01__04-adspy-module4-supervised2.pdf |
2.29MB |
| 01__05-adspy-unsupervised.pdf |
2.42MB |
| 01__1.1_Introduction_to_Text_Mining.pdf |
1.28MB |
| 01__1.1_Networks_Everywhere.pdf |
7.71MB |
| 01__1.2_Handling_Text_in_Python.pdf |
242.52KB |
| 01__1.2_Network_Definition_and_Vocabulary.pdf |
2.68MB |
| 01__1.3_Node_and_Edge_Attributes.pdf |
1.51MB |
| 01__1.3_Regular_Expressions.pdf |
258.48KB |
| 01__1.4_Bipartite_Graphs.pdf |
2.01MB |
| 01__1.4_Internationalization_and_Issues_with_Non-ASCII_Characters.pdf |
670.40KB |
| 01__2.1_Basic_Natural_Language_Processing.pdf |
223.26KB |
| 01__2.1_Clustering_Coefficient.pdf |
2.58MB |
| 01__2.2_Basic_NLP_Tasks_with_NLTK.pdf |
230.53KB |
| 01__2.2_Distance_Measures.pdf |
2.24MB |
| 01__2.3_Advanced_NLP_Tasks_with_NLTK.pdf |
309.47KB |
| 01__2.3_Connected_Components.pdf |
3.40MB |
| 01__2.4_Network_Robustness.pdf |
6.66MB |
| 01__3.1_Degree_and_Closeness_Centrality.pdf |
2.18MB |
| 01__3.1_Text_Classification.pdf |
350.17KB |
| 01__3.2_Betweenness_Centrality.pdf |
2.74MB |
| 01__3.2_Identifying_Features_from_Text.pdf |
215.77KB |
| 01__3.3_Basic_Page_Rank.pdf |
6.77MB |
| 01__3.3_Naive_Bayes_Classifier.pdf |
261.51KB |
| 01__3.4_Naive_Bayes_Variations.pdf |
210.48KB |
| 01__3.4_Scaled_Page_Rank.pdf |
3.38MB |
| 01__3.5_Hubs_and_Authorities.pdf |
14.63MB |
| 01__3.5_Support_Vector_Machines.pdf |
592.44KB |
| 01__3.6_Centrality_Examples.pdf |
6.32MB |
| 01__3.6_Learning_Text_Classifiers_in_Python.pdf |
349.04KB |
| 01__4.1_Preferential_Attachment_Model.pdf |
4.37MB |
| 01__4.1_Semantic_Text_Similarity.pdf |
414.54KB |
| 01__4.2_Small_World_Networks.pdf |
5.00MB |
| 01__4.2_Topic_Modeling.pdf |
446.65KB |
| 01__4.3_Generative_Models_and_LDA.pdf |
697.57KB |
| 01__4.3_Link_Prediction.pdf |
5.94MB |
| 01__4.4_Information_Extraction.pdf |
518.47KB |
| 01__classes.html |
90.23KB |
| 01__classes.html |
90.23KB |
| 01__classes.html |
90.23KB |
| 01__classes.html |
90.23KB |
| 01__Diamonds-Were-a-Girls-Best-Friend.jpg |
146.83KB |
| 01__documentation.html |
582B |
| 01__documentation.html |
582B |
| 01__documentation.html |
582B |
| 01__hist.pdf |
116.40KB |
| 01__intro.html |
42.77KB |
| 01__matplotlib.html |
42.28KB |
| 01__resources.html |
2.10KB |
| 01__resources.html |
1.83KB |
| 01__resources.html |
1.75KB |
| 01__resources.html |
996B |
| 01__resources.html |
997B |
| 01__resources.html |
1.73KB |
| 01__resources.html |
1.75KB |
| 01__resources.html |
1.34KB |
| 01__resources.html |
1.75KB |
| 01__resources.html |
2.19KB |
| 01__resources.html |
1.75KB |
| 01__resources.html |
2.93KB |
| 01__resources.html |
6.08KB |
| 01__resources.html |
3.00KB |
| 01__resources.html |
2.33KB |
| 01__resources.html |
1.75KB |
| 01__resources.html |
997B |
| 01__resources.html |
701.18KB |
| 01__resources.html |
700.60KB |
| 01__resources.html |
700.57KB |
| 01__resources.html |
523.18KB |
| 01__Scikit_Learn_Cheat_Sheet_Python.pdf |
145.68KB |
| 01__Scikit_Learn_Cheat_Sheet_Python.pdf |
145.68KB |
| 01__Scikit_Learn_Cheat_Sheet_Python.pdf |
145.68KB |
| 01__Week_1_Principles_of_Information_Visualization.html |
84.89KB |
| 01__Week_2_Basic_Charting.html |
73.48KB |
| 01__Week_3_Charting_Fundamentals.html |
73.04KB |
| 01__Week1_Slides_Final.pdf |
4.17MB |
| 01__Week1Slides.pptx |
15.54MB |
| 01__Week2_Basic_Charting.pptx |
238.71KB |
| 01__Week2_Slides_Final.pdf |
482.41KB |
| 01__Week3_Slides_Final.pdf |
525.63KB |
| 01__Week3Slides.pptx |
359.34KB |
| 01_a-conversation-with-andrew-ng.en.srt |
2.49KB |
| 01_a-conversation-with-andrew-ng.mp4 |
4.05MB |
| 01_assignment-1-submission_instructions.html |
1.06KB |
| 01_assignment-1-submission_instructions.html |
1.07KB |
| 01_assignment-1-submission_instructions.html |
1.06KB |
| 01_assignment-2-submission_instructions.html |
1.05KB |
| 01_assignment-2-submission_instructions.html |
1.05KB |
| 01_assignment-2-submission_instructions.html |
1.05KB |
| 01_assignment-3-submission_instructions.html |
1.05KB |
| 01_assignment-3-submission_instructions.html |
1.05KB |
| 01_assignment-3-submission_instructions.html |
1.06KB |
| 01_assignment-4-submission_instructions.html |
1.05KB |
| 01_assignment-4-submission_instructions.html |
1.05KB |
| 01_assignment-4-submission_instructions.html |
1.05KB |
| 01_assignment-reading_instructions.html |
1.46KB |
| 01_basic-natural-language-processing.en.srt |
4.22KB |
| 01_basic-natural-language-processing.mp4 |
5.38MB |
| 01_becoming-an-independent-data-scientist.en.srt |
2.63KB |
| 01_becoming-an-independent-data-scientist.mp4 |
4.51MB |
| 01_clustering-coefficient.en.srt |
19.38KB |
| 01_clustering-coefficient.mp4 |
18.69MB |
| 01_conclusion.en.srt |
3.90KB |
| 01_conclusion.mp4 |
4.49MB |
| 01_course-syllabus_0636920030515.do |
73.22KB |
| 01_course-syllabus_instructions.html |
11.43KB |
| 01_course-syllabus_instructions.html |
12.51KB |
| 01_course-syllabus_instructions.html |
11.40KB |
| 01_degree-and-closeness-centrality.en.srt |
18.37KB |
| 01_degree-and-closeness-centrality.mp4 |
21.43MB |
| 01_graphics-lies-misleading-visuals_BookChapterLIES.pdf |
333.40KB |
| 01_graphics-lies-misleading-visuals_instructions.html |
1.38KB |
| 01_introduction.en.srt |
6.60KB |
| 01_introduction.en.srt |
6.46KB |
| 01_introduction.en.srt |
2.63KB |
| 01_introduction.mp4 |
12.09MB |
| 01_introduction.mp4 |
6.66MB |
| 01_introduction.mp4 |
4.21MB |
| 01_introduction-a-conversation-with-andrew-ng.en.srt |
6.71KB |
| 01_introduction-a-conversation-with-andrew-ng.mp4 |
10.90MB |
| 01_introduction-to-supervised-machine-learning.en.srt |
22.13KB |
| 01_introduction-to-supervised-machine-learning.mp4 |
24.94MB |
| 01_model-evaluation-selection.en.srt |
30.08KB |
| 01_model-evaluation-selection.mp4 |
31.76MB |
| 01_naive-bayes-classifiers.en.srt |
11.20KB |
| 01_naive-bayes-classifiers.mp4 |
12.30MB |
| 01_plotting-weather-patterns_assignment2_rubric.pdf |
75.27KB |
| 01_plotting-weather-patterns_peer_assignment_instructions.html |
1.80KB |
| 01_plotting-with-pandas.en.srt |
9.54KB |
| 01_plotting-with-pandas.mp4 |
10.58MB |
| 01_post-course-survey_instructions.html |
1.70KB |
| 01_post-course-survey_instructions.html |
1.69KB |
| 01_preferential-attachment-model.en.srt |
18.44KB |
| 01_preferential-attachment-model.mp4 |
29.29MB |
| 01_semantic-text-similarity.en.srt |
21.29KB |
| 01_semantic-text-similarity.mp4 |
22.48MB |
| 01_specialization-wrap-up-a-conversation-with-andrew-ng.en.srt |
4.50KB |
| 01_specialization-wrap-up-a-conversation-with-andrew-ng.mp4 |
7.16MB |
| 01_subplots.en.srt |
10.54KB |
| 01_subplots.mp4 |
15.44MB |
| 01_text-classification.en.srt |
15.17KB |
| 01_text-classification.mp4 |
18.63MB |
| 01_time-series-examples.en.srt |
7.26KB |
| 01_time-series-examples.mp4 |
6.47MB |
| 01_week-3-a-conversation-with-andrew-ng.en.srt |
5.08KB |
| 01_week-3-a-conversation-with-andrew-ng.mp4 |
10.61MB |
| 01_week-4-a-conversation-with-andrew-ng.en.srt |
2.55KB |
| 01_week-4-a-conversation-with-andrew-ng.mp4 |
4.11MB |
| 01_wrap-up_instructions.html |
1.17KB |
| 02_basic-nlp-tasks-with-nltk.en.srt |
20.92KB |
| 02_basic-nlp-tasks-with-nltk.mp4 |
23.49MB |
| 02_becoming-an-independent-data-scientist_assignment4_rubric.pdf |
85.64KB |
| 02_becoming-an-independent-data-scientist_peer_assignment_instructions.html |
1.89KB |
| 02_betweenness-centrality.en.srt |
24.61KB |
| 02_betweenness-centrality.mp4 |
26.40MB |
| 02_building-a-custom-visualization_assignment3_rubric.pdf |
73.64KB |
| 02_building-a-custom-visualization_peer_assignment_instructions.html |
1.74KB |
| 02_conceptual-overview.en.srt |
5.14KB |
| 02_conceptual-overview.mp4 |
4.25MB |
| 02_confusion-matrices-basic-evaluation-metrics.en.srt |
15.85KB |
| 02_confusion-matrices-basic-evaluation-metrics.mp4 |
16.19MB |
| 02_congratulations.en.srt |
1.27KB |
| 02_congratulations.mp4 |
1.44MB |
| 02_convolutions.en.srt |
1.42KB |
| 02_convolutions.mp4 |
1.87MB |
| 02_dimensionality-reduction-and-manifold-learning.en.srt |
13.47KB |
| 02_dimensionality-reduction-and-manifold-learning.mp4 |
12.88MB |
| 02_distance-measures.en.srt |
26.06KB |
| 02_distance-measures.mp4 |
26.06MB |
| 02_graphics-lies-misleading-visuals_assignment1_rubric.pdf |
72.72KB |
| 02_graphics-lies-misleading-visuals_peer_assignment_instructions.html |
3.17KB |
| 02_help-us-learn-more-about-you_instructions.html |
1.85KB |
| 02_help-us-learn-more-about-you_instructions.html |
1.86KB |
| 02_histograms.en.srt |
12.15KB |
| 02_histograms.mp4 |
17.05MB |
| 02_identifying-features-from-text.en.srt |
9.63KB |
| 02_identifying-features-from-text.mp4 |
15.66MB |
| 02_introduction.en.srt |
16.07KB |
| 02_introduction.mp4 |
17.49MB |
| 02_keep-learning-with-michigan-online_instructions.html |
34.14KB |
| 02_keep-learning-with-michigan-online_instructions.html |
34.14KB |
| 02_machine-learning-applied-to-time-series.en.srt |
2.76KB |
| 02_machine-learning-applied-to-time-series.mp4 |
2.46MB |
| 02_matplotlib-architecture.en.srt |
10.22KB |
| 02_matplotlib-architecture.mp4 |
16.37MB |
| 02_overfitting-and-underfitting.en.srt |
15.81KB |
| 02_overfitting-and-underfitting.mp4 |
15.57MB |
| 02_post-course-survey_instructions.html |
1.51KB |
| 02_power-laws-and-rich-get-richer-phenomena-optional_instructions.html |
1.40KB |
| 02_power-laws-and-rich-get-richer-phenomena-optional_networks-book-ch18.pdf |
311.95KB |
| 02_preparing-features-and-labels.en.srt |
6.25KB |
| 02_preparing-features-and-labels.mp4 |
5.99MB |
| 02_random-forests.en.srt |
17.07KB |
| 02_random-forests.mp4 |
17.39MB |
| 02_seaborn.en.srt |
11.31KB |
| 02_seaborn.mp4 |
12.50MB |
| 02_syllabus_instructions.html |
11.63KB |
| 02_topic-modeling.en.srt |
10.05KB |
| 02_topic-modeling.mp4 |
13.42MB |
| 02_what-next_instructions.html |
1.58KB |
| 03_advanced-nlp-tasks-with-nltk.en.srt |
20.07KB |
| 03_advanced-nlp-tasks-with-nltk.mp4 |
21.78MB |
| 03_basic-page-rank.en.srt |
14.08KB |
| 03_basic-page-rank.mp4 |
17.67MB |
| 03_classifier-decision-functions.en.srt |
9.04KB |
| 03_classifier-decision-functions.mp4 |
9.91MB |
| 03_clustering.en.srt |
19.90KB |
| 03_clustering.mp4 |
19.83MB |
| 03_common-patterns-in-time-series.en.srt |
8.78KB |
| 03_common-patterns-in-time-series.mp4 |
6.27MB |
| 03_connected-components.en.srt |
14.58KB |
| 03_connected-components.mp4 |
15.54MB |
| 03_convolutional-neural-networks-course_instructions.html |
1.23KB |
| 03_generative-models-and-lda.en.srt |
18.22KB |
| 03_generative-models-and-lda.mp4 |
23.17MB |
| 03_gradient-boosted-decision-trees.en.srt |
8.44KB |
| 03_gradient-boosted-decision-trees.mp4 |
8.47MB |
| 03_help-us-learn-more-about-you_instructions.html |
1.66KB |
| 03_help-us-learn-more-about-you_instructions.html |
1.66KB |
| 03_introduction-to-text-mining.en.srt |
4.13KB |
| 03_introduction-to-text-mining.mp4 |
4.85MB |
| 03_keep-learning-with-michigan-online_instructions.html |
34.14KB |
| 03_matplotlib_instructions.html |
1.36KB |
| 03_matplotlib_matplotlib.html |
42.28KB |
| 03_naive-bayes-classifiers.en.srt |
22.61KB |
| 03_naive-bayes-classifiers.mp4 |
26.37MB |
| 03_networks-definition-and-why-we-study-them.en.srt |
10.78KB |
| 03_networks-definition-and-why-we-study-them.mp4 |
15.37MB |
| 03_post-course-survey_instructions.html |
1.50KB |
| 03_preparing-features-and-labels.en.srt |
6.17KB |
| 03_preparing-features-and-labels.mp4 |
5.85MB |
| 03 selecting-the-number-of-bins-in-a-histogram-a-decision-theoretic-approach hist pdf |
116.40KB |
| 03 selecting-the-number-of-bins-in-a-histogram-a-decision-theoretic-approach instructions html |
1.19KB |
| 03_shape-of-the-inputs-to-the-rnn.en.srt |
3.49KB |
| 03_shape-of-the-inputs-to-the-rnn.mp4 |
2.68MB |
| 03_small-world-networks.en.srt |
30.04KB |
| 03_small-world-networks.mp4 |
53.03MB |
| 03_spurious-correlations_instructions.html |
1.65KB |
| 03_supervised-learning-datasets.en.srt |
6.74KB |
| 03_supervised-learning-datasets.mp4 |
7.27MB |
| 04_about-the-professor-christopher-brooks.en.srt |
2.10KB |
| 04_about-the-professor-christopher-brooks.mp4 |
5.49MB |
| 04_bi-directional-lstms.en.srt |
6.01KB |
| 04_bi-directional-lstms.mp4 |
4.70MB |
| 04_box-plots.en.srt |
10.34KB |
| 04_box-plots.mp4 |
14.52MB |
| 04_handling-text-in-python.en.srt |
22.64KB |
| 04_handling-text-in-python.mp4 |
23.36MB |
| 04_how-to-use-t-sne-effectively_instructions.html |
1.16KB |
| 04_introduction-to-time-series.en.srt |
6.91KB |
| 04_introduction-to-time-series.mp4 |
7.59MB |
| 04_key-concepts-in-machine-learning.en.srt |
18.82KB |
| 04_key-concepts-in-machine-learning.mp4 |
23.80MB |
| 04_k-nearest-neighbors-classification-and-regression.en.srt |
17.09KB |
| 04_k-nearest-neighbors-classification-and-regression.mp4 |
17.81MB |
| 04_link-prediction.en.srt |
27.71KB |
| 04_link-prediction.mp4 |
42.14MB |
| 04_naive-bayes-variations.en.srt |
6.09KB |
| 04_naive-bayes-variations.mp4 |
9.62MB |
| 04_network-definition-and-vocabulary.en.srt |
14.21KB |
| 04_network-definition-and-vocabulary.mp4 |
17.76MB |
| 04_network-robustness.en.srt |
14.94KB |
| 04_network-robustness.mp4 |
18.91MB |
| 04_neural-networks.en.srt |
27.90KB |
| 04_neural-networks.mp4 |
27.09MB |
| 04_outputting-a-sequence.en.srt |
2.13KB |
| 04_outputting-a-sequence.mp4 |
1.74MB |
| 04_practice-quiz_quiz.html |
2.37KB |
| 04_practice-quiz_quiz.html |
2.17KB |
| 04_precision-recall-and-roc-curves.en.srt |
7.53KB |
| 04_precision-recall-and-roc-curves.mp4 |
8.09MB |
| 04_preparing-features-and-labels-notebook_instructions.html |
1.18KB |
| 04_preparing-features-and-labels-notebook_SP_Week_2_Lesson_1.ipynb |
66.84KB |
| 04_scaled-page-rank.en.srt |
13.58KB |
| 04_scaled-page-rank.mp4 |
18.74MB |
| 04_ten-simple-rules-for-better-figures_instructions.html |
1.48KB |
| 05_basic-plotting-with-matplotlib.en.srt |
11.87KB |
| 05_basic-plotting-with-matplotlib.mp4 |
14.06MB |
| 05_heatmaps.en.srt |
5.33KB |
| 05_heatmaps.mp4 |
7.65MB |
| 05 how-machines-make-sense-of-big-data-an-introduction-to-clustering-algorithms instructions html |
1.32KB |
| 05_hubs-and-authorities.en.srt |
18.97KB |
| 05_hubs-and-authorities.mp4 |
26.22MB |
| 05_information-extraction.en.srt |
22.46KB |
| 05_information-extraction.mp4 |
26.69MB |
| 05_introduction-to-time-series-notebook_instructions.html |
1.17KB |
| 05_introduction-to-time-series-notebook_SP_Week_1_Lesson_2.ipynb |
66.83KB |
| 05_lambda-layers.en.srt |
2.87KB |
| 05_lambda-layers.mp4 |
2.16MB |
| 05_linear-regression-least-squares.en.srt |
21.26KB |
| 05_linear-regression-least-squares.mp4 |
23.92MB |
| 05_module-2-quiz_exam.html |
4.65KB |
| 05_module-4-quiz_exam.html |
669.93KB |
| 05_more-on-batch-sizing_instructions.html |
1.03KB |
| 05_multi-class-evaluation.en.srt |
15.21KB |
| 05_multi-class-evaluation.mp4 |
16.72MB |
| 05_neural-networks-made-easy-optional_instructions.html |
1.52KB |
| 05_node-and-edge-attributes.en.srt |
12.65KB |
| 05_node-and-edge-attributes.mp4 |
15.09MB |
| 05_notice-for-auditing-learners-assignment-submission_instructions.html |
1.61KB |
| 05_python-tools-for-machine-learning.en.srt |
6.11KB |
| 05_python-tools-for-machine-learning.mp4 |
7.75MB |
| 05_sequence-bias_instructions.html |
1.45KB |
| 05_support-vector-machines.en.srt |
31.98KB |
| 05_support-vector-machines.mp4 |
31.39MB |
| 05_ta-demonstration-simple-network-visualizations-in-networkx.en.srt |
7.33KB |
| 05_ta-demonstration-simple-network-visualizations-in-networkx.mp4 |
10.09MB |
| 05_tools-for-thinking-about-design-alberto-cairo.en.srt |
12.58KB |
| 05_tools-for-thinking-about-design-alberto-cairo.mp4 |
19.22MB |
| 06_additional-resources-readings_blei03a.pdf |
408.20KB |
| 06_additional-resources-readings_instructions.html |
2.13KB |
| 06_additional-resources-readings_wordnet.html |
31.02KB |
| 06_adjusting-the-learning-rate-dynamically.en.srt |
4.34KB |
| 06_adjusting-the-learning-rate-dynamically.mp4 |
3.76MB |
| 06_animation.en.srt |
7.08KB |
| 06_animation.mp4 |
9.05MB |
| 06_bipartite-graphs.en.srt |
18.59KB |
| 06_bipartite-graphs.mp4 |
22.41MB |
| 06_centrality-examples.en.srt |
13.79KB |
| 06_centrality-examples.mp4 |
16.79MB |
| 06_feeding-windowed-dataset-into-neural-network.en.srt |
3.31KB |
| 06_feeding-windowed-dataset-into-neural-network.mp4 |
2.97MB |
| 06_learning-text-classifiers-in-python.en.srt |
19.91KB |
| 06_learning-text-classifiers-in-python.mp4 |
20.29MB |
| 06_linear-regression-ridge-lasso-and-polynomial-regression.en.srt |
27.19KB |
| 06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 |
29.31MB |
| 06_lstm.en.srt |
2.47KB |
| 06_lstm.mp4 |
3.88MB |
| 06_module-2-quiz_exam.html |
1.08MB |
| 06_notice-for-auditing-learners-assignment-submission_instructions.html |
1.61KB |
| 06_notice-for-coursera-learners-assignment-submission_instructions.html |
1.61KB |
| 06 play-with-neural-networks-tensorflow-playground-optional instructions html |
2.00KB |
| 06_regression-evaluation.en.srt |
7.83KB |
| 06_regression-evaluation.mp4 |
9.65MB |
| 06_regular-expressions.en.srt |
20.21KB |
| 06_regular-expressions.mp4 |
22.55MB |
| 06_scatterplots.en.srt |
11.51KB |
| 06_scatterplots.mp4 |
17.65MB |
| 06_the-small-world-phenomenon-optional_instructions.html |
1.57KB |
| 06_the-small-world-phenomenon-optional_networks-book-ch02.pdf |
2.07MB |
| 06_the-small-world-phenomenon-optional_networks-book-ch20.pdf |
1.53MB |
| 06_train-validation-and-test-sets.en.srt |
5.18KB |
| 06_train-validation-and-test-sets.mp4 |
4.19MB |
| 07_an-example-machine-learning-problem.en.srt |
14.83KB |
| 07_an-example-machine-learning-problem.mp4 |
19.10MB |
| 07_deep-learning-optional.en.srt |
10.34KB |
| 07_deep-learning-optional.mp4 |
10.76MB |
| 07_demonstration-case-study-sentiment-analysis.en.srt |
12.17KB |
| 07_demonstration-case-study-sentiment-analysis.mp4 |
16.37MB |
| 07_demonstration-regex-with-pandas-and-named-groups.en.srt |
6.10KB |
| 07_demonstration-regex-with-pandas-and-named-groups.mp4 |
7.15MB |
| 07_graphical-heuristics-data-ink-ratio-edward-tufte.en.srt |
6.97KB |
| 07_graphical-heuristics-data-ink-ratio-edward-tufte.mp4 |
9.24MB |
| 07_interactivity.en.srt |
7.37KB |
| 07_interactivity.mp4 |
10.21MB |
| 07_line-plots.en.srt |
11.80KB |
| 07_line-plots.mp4 |
15.77MB |
| 07_logistic-regression.en.srt |
17.13KB |
| 07_logistic-regression.mp4 |
16.45MB |
| 07_lstm-notebook_instructions.html |
1.15KB |
| 07_lstm-notebook_SP_Week_4_Lesson_1.ipynb |
66.84KB |
| 07_metrics-for-evaluating-performance.en.srt |
3.33KB |
| 07_metrics-for-evaluating-performance.mp4 |
2.59MB |
| 07_module-3-quiz_exam.html |
282.97KB |
| 07_module-4-quiz_exam.html |
4.89KB |
| 07_more-info-on-huber-loss_instructions.html |
1.04KB |
| 07_notice-for-auditing-learners-assignment-submission_instructions.html |
1.61KB |
| 07 practical-guide-to-controlled-experiments-on-the-web-optional 2007GuideControlledExperiments pdf |
493.03KB |
| 07 practical-guide-to-controlled-experiments-on-the-web-optional instructions html |
1.77KB |
| 07_single-layer-neural-network.en.srt |
5.24KB |
| 07_single-layer-neural-network.mp4 |
3.48MB |
| 08_bar-charts.en.srt |
5.49KB |
| 08_bar-charts.mp4 |
9.29MB |
| 08_dark-horse-analytics-optional_instructions.html |
1.30KB |
| 08_deep-learning-in-a-nutshell-core-concepts-optional_instructions.html |
1.56KB |
| 08_examining-the-data.en.srt |
12.05KB |
| 08_examining-the-data.mp4 |
15.67MB |
| 08_linear-classifiers-support-vector-machines.en.srt |
15.54KB |
| 08_linear-classifiers-support-vector-machines.mp4 |
18.32MB |
| 08_machine-learning-on-time-windows.en.srt |
1.01KB |
| 08_machine-learning-on-time-windows.mp4 |
723.72KB |
| 08 model-selection-optimizing-classifiers-for-different-evaluation-metrics en srt |
18.12KB |
| 08 model-selection-optimizing-classifiers-for-different-evaluation-metrics mp4 |
20.02MB |
| 08_module-3-quiz_exam.html |
6.58KB |
| 08_moving-average-and-differencing.en.srt |
4.52KB |
| 08_moving-average-and-differencing.mp4 |
3.23MB |
| 08_practice-quiz_quiz.html |
7.76KB |
| 08_real-data-sunspots.en.srt |
6.42KB |
| 08_real-data-sunspots.mp4 |
5.08MB |
| 08_rnn.en.srt |
2.70KB |
| 08_rnn.mp4 |
3.23MB |
| 08_ta-demonstration-loading-graphs-in-networkx.en.srt |
10.43KB |
| 08_ta-demonstration-loading-graphs-in-networkx.mp4 |
11.68MB |
| 09 assisting-pathologists-in-detecting-cancer-with-deep-learning-optional assisting-pathologists-in-detecting html |
141.99KB |
| 09 assisting-pathologists-in-detecting-cancer-with-deep-learning-optional instructions html |
1.31KB |
| 09_dejunkifying-a-plot.en.srt |
5.89KB |
| 09_dejunkifying-a-plot.mp4 |
12.24MB |
| 09_graphical-heuristics-chart-junk-edward-tufte.en.srt |
7.64KB |
| 09_graphical-heuristics-chart-junk-edward-tufte.mp4 |
13.14MB |
| 09_internationalization-and-issues-with-non-ascii-characters.en.srt |
13.58KB |
| 09_internationalization-and-issues-with-non-ascii-characters.mp4 |
15.79MB |
| 09_k-nearest-neighbors-classification.en.srt |
26.19KB |
| 09_k-nearest-neighbors-classification.mp4 |
26.90MB |
| 09_module-1-quiz_exam.html |
488.89KB |
| 09_module-3-quiz_exam.html |
202.86KB |
| 09_multi-class-classification.en.srt |
8.30KB |
| 09_multi-class-classification.mp4 |
9.92MB |
| 09_prediction.en.srt |
4.22KB |
| 09_prediction.mp4 |
3.21MB |
| 09_rnn-notebook_instructions.html |
1.17KB |
| 09_rnn-notebook_SP_Week_3_Lesson_2_-_RNN.ipynb |
66.86KB |
| 09_trailing-versus-centered-windows.en.srt |
1.67KB |
| 09_trailing-versus-centered-windows.mp4 |
1.60MB |
| 09_train-and-tune-the-model.en.srt |
4.17KB |
| 09_train-and-tune-the-model.mp4 |
3.47MB |
| 1 |
79B |
| 10 |
277B |
| 10_data-leakage.en.srt |
16.69KB |
| 10_data-leakage.mp4 |
19.14MB |
| 10_forecasting.en.srt |
7.80KB |
| 10_forecasting.mp4 |
10.20MB |
| 10_kernelized-support-vector-machines.en.srt |
25.60KB |
| 10_kernelized-support-vector-machines.mp4 |
26.69MB |
| 10_lstm.en.srt |
2.84KB |
| 10_lstm.mp4 |
2.41MB |
| 10_more-on-single-layer-neural-network.en.srt |
3.86KB |
| 10_more-on-single-layer-neural-network.mp4 |
4.43MB |
| 10_prediction.en.srt |
2.28KB |
| 10_prediction.mp4 |
2.55MB |
| 10_resources-common-issues-with-free-text_instructions.html |
1.86KB |
| 10_resources-common-issues-with-free-text_re.html |
196.31KB |
| 10 useful-junk-the-effects-of-visual-embellishment-on-comprehension-and instructions html |
1.33KB |
| 10 zachary-lipton-the-foundations-of-algorithmic-bias-optional instructions html |
1.97KB |
| 100 |
349.13KB |
| 101 |
350.30KB |
| 102 |
32.15KB |
| 103 |
180.50KB |
| 104 |
234.79KB |
| 105 |
14.75KB |
| 106 |
62.73KB |
| 107 |
79.05KB |
| 108 |
158.60KB |
| 109 |
308.26KB |
| 11 |
27B |
| 11_cross-validation.en.srt |
13.00KB |
| 11_cross-validation.mp4 |
12.92MB |
| 11_forecasting-notebook_instructions.html |
1.18KB |
| 11_forecasting-notebook_SP_Week_1_-_Lesson_3_-_Notebook.ipynb |
66.87KB |
| 11_graphical-heuristics-lie-factor-and-spark-lines-edward-tufte.en.srt |
5.38KB |
| 11_graphical-heuristics-lie-factor-and-spark-lines-edward-tufte.mp4 |
8.67MB |
| 11_link-to-the-lstm-lesson_instructions.html |
1.08KB |
| 11_module-1-quiz_exam.html |
180.34KB |
| 11_module-1-quiz_exam.html |
10.94KB |
| 11_single-layer-neural-network-notebook_instructions.html |
1.17KB |
| 11_single-layer-neural-network-notebook_SP_Week_2_Lesson_2.ipynb |
66.85KB |
| 11_sunspots.en.srt |
2.35KB |
| 11_sunspots.mp4 |
3.44MB |
| 11_the-treachery-of-leakage-optional_instructions.html |
1.36KB |
| 110 |
7.22KB |
| 111 |
123.40KB |
| 112 |
404.72KB |
| 113 |
433.75KB |
| 114 |
3.41KB |
| 115 |
152.70KB |
| 116 |
307.13KB |
| 117 |
498.40KB |
| 118 |
9.18KB |
| 119 |
74.83KB |
| 12 |
51B |
| 12_coding-lstms.en.srt |
3.79KB |
| 12_coding-lstms.mp4 |
3.30MB |
| 12_decision-trees.en.srt |
28.36KB |
| 12_decision-trees.mp4 |
27.49MB |
| 12_deep-neural-network-training-tuning-and-prediction.en.srt |
6.44KB |
| 12_deep-neural-network-training-tuning-and-prediction.mp4 |
6.76MB |
| 12 leakage-in-data-mining-formulation-detection-and-avoidance-optional cs670 Tran PreferredPaper LeakingInDataMining pdf |
847.57KB |
| 12 leakage-in-data-mining-formulation-detection-and-avoidance-optional instructions html |
1.72KB |
| 12_sunspots-notebook_instructions.html |
1.46KB |
| 12_sunspots-notebook_SP_Week_4_Lesson_3.ipynb |
66.84KB |
| 12_sunspots-notebook_SP_Week_4_Lesson_5.ipynb |
66.85KB |
| 12_the-truthful-art-alberto-cairo.en.srt |
12.63KB |
| 12_the-truthful-art-alberto-cairo.mp4 |
19.54MB |
| 12_week-1-quiz_exam.html |
8.86KB |
| 120 |
137.13KB |
| 121 |
257.52KB |
| 122 |
295.43KB |
| 123 |
322.34KB |
| 124 |
333.98KB |
| 125 |
395.54KB |
| 126 |
457.20KB |
| 127 |
118.46KB |
| 128 |
243.80KB |
| 129 |
25.02KB |
| 13 |
523B |
| 13_a-few-useful-things-to-know-about-machine-learning_cacm12.pdf |
15.12MB |
| 13_a-few-useful-things-to-know-about-machine-learning_instructions.html |
1.60KB |
| 13_combining-our-tools-for-analysis.en.srt |
6.53KB |
| 13_combining-our-tools-for-analysis.mp4 |
5.70MB |
| 13 data-leakage-example-the-icml-2013-whale-challenge-optional instructions html |
1.59KB |
| 13_deep-neural-network.en.srt |
4.49KB |
| 13_deep-neural-network.mp4 |
5.92MB |
| 13_more-on-lstm.en.srt |
2.79KB |
| 13_more-on-lstm.mp4 |
3.37MB |
| 13_week-1-wrap-up_instructions.html |
1.36KB |
| 130 |
31.46KB |
| 131 |
64.45KB |
| 132 |
102.93KB |
| 133 |
123.66KB |
| 134 |
130.44KB |
| 135 |
201.93KB |
| 136 |
278.99KB |
| 137 |
280.37KB |
| 138 |
299.11KB |
| 139 |
378.56KB |
| 14 |
11B |
| 14_deep-neural-network-notebook_instructions.html |
1.17KB |
| 14_deep-neural-network-notebook_SP_Week_2_Lesson_3.ipynb |
66.84KB |
| 14_ed-yong-genetic-test-for-autism-refuted-optional_instructions.html |
1.67KB |
| 14_lstm-notebook_instructions.html |
1.20KB |
| 14_lstm-notebook_SP_Week_3_Lesson_4_-_LSTM.ipynb |
66.86KB |
| 14 rules-of-machine-learning-best-practices-for-ml-engineering-optional instructions html |
1.55KB |
| 14 rules-of-machine-learning-best-practices-for-ml-engineering-optional rules of ml pdf |
449.46KB |
| 14_week-4-quiz_exam.html |
8.46KB |
| 140 |
34.33KB |
| 141 |
262.57KB |
| 142 |
326.20KB |
| 143 |
326.37KB |
| 144 |
422.67KB |
| 145 |
432.77KB |
| 146 |
461.92KB |
| 147 |
43.16KB |
| 148 |
79.30KB |
| 149 |
93.50KB |
| 15 |
145B |
| 15_module-2-quiz_exam.html |
554.29KB |
| 15_module-4-quiz_exam.html |
1.60MB |
| 15_week-2-quiz_exam.html |
11.03KB |
| 15_week-3-quiz_exam.html |
8.36KB |
| 150 |
214.73KB |
| 151 |
262.62KB |
| 152 |
328.48KB |
| 153 |
347.82KB |
| 154 |
437.11KB |
| 155 |
502.79KB |
| 156 |
137.56KB |
| 157 |
232.15KB |
| 158 |
263.38KB |
| 159 |
407.62KB |
| 16 |
165B |
| 16_week-2-wrap-up_instructions.html |
1.21KB |
| 16_week-3-wrap-up_instructions.html |
1.17KB |
| 160 |
413.89KB |
| 161 |
482.02KB |
| 162 |
498.81KB |
| 163 |
66.52KB |
| 164 |
223.43KB |
| 165 |
431.82KB |
| 166 |
176.43KB |
| 167 |
300.28KB |
| 168 |
322.82KB |
| 169 |
323.40KB |
| 17 |
363B |
| 170 |
323.43KB |
| 171 |
326.43KB |
| 172 |
353.60KB |
| 173 |
354.07KB |
| 174 |
431.56KB |
| 175 |
469.71KB |
| 176 |
498.37KB |
| 177 |
500.82KB |
| 18 |
10B |
| 19 |
5B |
| 2 |
59B |
| 20 |
143B |
| 21 |
12B |
| 22 |
574B |
| 23 |
27B |
| 24 |
141B |
| 25 |
57B |
| 26 |
9B |
| 27 |
163B |
| 28 |
13B |
| 29 |
348B |
| 3 |
36B |
| 30 |
237B |
| 31 |
120B |
| 32 |
276B |
| 33 |
18B |
| 34 |
425B |
| 35 |
8.64KB |
| 36 |
378.74KB |
| 37 |
186.68KB |
| 38 |
191.43KB |
| 39 |
249.21KB |
| 4 |
97B |
| 40 |
336.41KB |
| 41 |
363.27KB |
| 42 |
11.54KB |
| 43 |
109.11KB |
| 44 |
461.74KB |
| 45 |
212.92KB |
| 46 |
285.43KB |
| 47 |
51.11KB |
| 48 |
128.99KB |
| 49 |
129.34KB |
| 5 |
6B |
| 50 |
319.98KB |
| 51 |
213.78KB |
| 52 |
236.74KB |
| 53 |
340.37KB |
| 54 |
346.49KB |
| 55 |
441.50KB |
| 56 |
469.35KB |
| 57 |
470.90KB |
| 58 |
65.00KB |
| 59 |
135.67KB |
| 6 |
86B |
| 60 |
388.36KB |
| 61 |
418.48KB |
| 62 |
380.00KB |
| 63 |
493.60KB |
| 64 |
452.05KB |
| 65 |
78.98KB |
| 66 |
370.38KB |
| 67 |
80.59KB |
| 68 |
120.34KB |
| 69 |
4.34KB |
| 7 |
366B |
| 70 |
205.32KB |
| 71 |
264.87KB |
| 72 |
415.71KB |
| 73 |
326.97KB |
| 74 |
105.84KB |
| 75 |
243.19KB |
| 76 |
404.43KB |
| 77 |
427.02KB |
| 78 |
296.98KB |
| 79 |
302.69KB |
| 8 |
172B |
| 80 |
423.11KB |
| 81 |
77.53KB |
| 82 |
94.83KB |
| 83 |
357.96KB |
| 84 |
390.86KB |
| 85 |
218.93KB |
| 86 |
261.50KB |
| 87 |
460.76KB |
| 88 |
341.89KB |
| 89 |
29.45KB |
| 9 |
3B |
| 90 |
415.30KB |
| 91 |
260.71KB |
| 92 |
293.20KB |
| 93 |
358.83KB |
| 94 |
420.06KB |
| 95 |
231.81KB |
| 96 |
346.91KB |
| 97 |
360.72KB |
| 98 |
234.18KB |
| 99 |
249.24KB |
| TutsNode.com.txt |
63B |