Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015) torrent, magnet, bt

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Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

magnet:?xt=urn:btih:1D3A0A888CDDD9A2947343F1663FB55CBE773E1F&dn=Udemy%20-%20From%200%20to%201%20Machine%20Learning%2C%20NLP%20%26%20Python-Cut%20to%20the%20Chase%20%282015%29

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Torrent Hash:

1D3A0A888CDDD9A2947343F1663FB55CBE773E1F

Number of Files:

Content Size:

2.87GB

Convert On:

2019-07-06

Keywords:

Udemy From to Machine Learning NLP Python Cut to the Chase 2015

Magnet Link:

magnet:?xt=urn:btih:1D3A0A888CDDD9A2947343F1663FB55CBE773E1F&dn=Udemy%20-%20From%200%20to%201%20Machine%20Learning%2C%20NLP%20%26%20Python-Cut%20to%20the%20Chase%20%282015%29

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File Name

Size

10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4

57.64MB

06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4

67.69MB

04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4

68.76MB

08_-_Association_Detection/18_-_Association_Rules_Learning.mp4

71.87MB

03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4

73.82MB

04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4

74.01MB

12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4

79.09MB

04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4

83.68MB

05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4

88.65MB

12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4

91.1MB

04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4

95.9MB

11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4

99.03MB

12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4

107.16MB

02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4

107.64MB

05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4

114.72MB

02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4

117.09MB

07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4

119MB

04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4

119.2MB

02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4

120.06MB

06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4

120.83MB

02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4

121.81MB

09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4

124.77MB

01_-_Introduction/01_-_What_this_course_is_about.mp4

125.09MB

03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4

127.5MB

09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4

127.51MB

12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4

140.68MB

10_-_Artificial_Neural_Networks/21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4

145.07MB

12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4

148MB

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