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


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Torrent File Content (28 files)


Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
    10_-_Artificial_Neural_Networks
          22_-_Perceptron_-_How_it_works.mp4 -
57.64 MB

    06_-_Support_Vector_Machines
          15_-_Support_Vector_Machines_Introduced.mp4 -
67.69 MB

    04_-_Naive_Bayes_Classifier
          12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 -
68.76 MB

    08_-_Association_Detection
          18_-_Association_Rules_Learning.mp4 -
71.87 MB

    03_-_Classification_-_A_form_of_supervised_learning
          07_-_Bias_Variance_Trade-off.mp4 -
73.82 MB

    04_-_Naive_Bayes_Classifier
          10_-_Naive_Bayes_Classifier.mp4 -
74.01 MB

    12_-_Natural_Language_Processing_and_Python
          27_-_Document_Distance_using_TF-IDF.mp4 -
79.09 MB

    04_-_Naive_Bayes_Classifier
          09_-_Bayes_Theorem.mp4 -
83.68 MB

    05_-_K-Nearest_Neighbors
          13_-_K-Nearest_Neighbors.mp4 -
88.65 MB

    12_-_Natural_Language_Processing_and_Python
          24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 -
91.1 MB

    04_-_Naive_Bayes_Classifier
          11_-_Naive_Bayes_Classifier_-_An_example.mp4 -
95.9 MB

    11_-_Regression_as_a_form_of_supervised_learning
          23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 -
99.03 MB

    12_-_Natural_Language_Processing_and_Python
          28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 -
107.16 MB

    02_-_Jump_right_in_-_Machine_learning_for_Spam_detection
          02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 -
107.64 MB

    05_-_K-Nearest_Neighbors
          14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 -
114.72 MB

    02_-_Jump_right_in_-_Machine_learning_for_Spam_detection
          04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 -
117.09 MB

    07_-_Clustering_as_a_form_Unsupervised_learning
          17_-_Clustering_-_Problems_and_Techniques.mp4 -
119 MB

    04_-_Naive_Bayes_Classifier
          08_-_Random_Variables.mp4 -
119.2 MB

    02_-_Jump_right_in_-_Machine_learning_for_Spam_detection
          05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 -
120.06 MB

    06_-_Support_Vector_Machines
          16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 -
120.83 MB

    02_-_Jump_right_in_-_Machine_learning_for_Spam_detection
          03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 -
121.81 MB

    09_-_Dimensionality_Reduction
          20_-_Principal_Component_Analysis.mp4 -
124.77 MB

    01_-_Introduction
          01_-_What_this_course_is_about.mp4 -
125.09 MB

    03_-_Classification_-_A_form_of_supervised_learning
          06_-_Classification_-_Problems_and_Techniques.mp4 -
127.5 MB

    09_-_Dimensionality_Reduction
          19_-_Dimensionality_Reduction.mp4 -
127.51 MB

    12_-_Natural_Language_Processing_and_Python
          26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 -
140.68 MB

    10_-_Artificial_Neural_Networks
          21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4 -
145.07 MB

    12_-_Natural_Language_Processing_and_Python
          25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 -
148 MB



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