Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)
File List
| File | Size |
|---|---|
| 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 |
| 12_-_Natural_Language_Processing_and_Python/25_-_Put_it_to_work_-_News_Article_Classification_using_K-Nearest_Neighbors.mp4 | 148 MB |
| 12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 | 91.1 MB |
| 12_-_Natural_Language_Processing_and_Python/26_-_Put_it_to_work_-_News_Article_Classification_using_Naive_Bayes_Classifier.mp4 | 140.68 MB |
| 12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 | 79.09 MB |
| 05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 | 114.72 MB |
| 05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 | 88.65 MB |
| 01_-_Introduction/01_-_What_this_course_is_about.mp4 | 125.09 MB |
| 09_-_Dimensionality_Reduction/20_-_Principal_Component_Analysis.mp4 | 124.77 MB |
| 09_-_Dimensionality_Reduction/19_-_Dimensionality_Reduction.mp4 | 127.51 MB |
| 03_-_Classification_-_A_form_of_supervised_learning/06_-_Classification_-_Problems_and_Techniques.mp4 | 127.5 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 |
| 04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 | 68.76 MB |
| 04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 | 95.9 MB |
| 04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 | 119.2 MB |
| 04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 | 83.68 MB |
| 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/03_-_Plunging_In_-_Machine_Learning_Approaches_to_Spam_Detection.mp4 | 121.81 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 |
| 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 | 107.64 MB |
| 02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 | 117.09 MB |
| 06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 | 120.83 MB |
| 06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 | 67.69 MB |
| 08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 | 71.87 MB |
| 07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4 | 119 MB |
| 10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 | 57.64 MB |
| 10_-_Artificial_Neural_Networks/21_-_Artificial_Neural_Networks_I_Perceptron_introduced_via_Support_Vector_Machines_.mp4 | 145.07 MB |
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