FreeTutorials Us from-0-1-machine-learning

1. 01-introduction/001-you-this-course-and-us.mp415.4MB
2. 01-introduction/002-a-sneak-peek-at-whats-coming-up.mp427.3MB
3. 02-jump-right-in-machine-learning-for-spam-detection/003-solving-problems-with-computers.mp413.82MB
4. 02-jump-right-in-machine-learning-for-spam-detection/004-machine-learning-why-should-you-jump-on-the-bandwagon.mp421.53MB
5. 02-jump-right-in-machine-learning-for-spam-detection/005-plunging-in-machine-learning-approaches-to-spam-detection.mp432.21MB
6. 02-jump-right-in-machine-learning-for-spam-detection/006-spam-detection-with-machine-learning-continued.mp429.05MB
7. 02-jump-right-in-machine-learning-for-spam-detection/007-get-the-lay-of-the-land-types-of-machine-learning-problems.mp430.06MB
8. 03-solving-classification-problems/008-solving-classification-problems.mp45.87MB
9. 03-solving-classification-problems/009-random-variables.mp435.39MB
10. 03-solving-classification-problems/010-bayes-theorem.mp424.75MB
11. 03-solving-classification-problems/011-naive-bayes-classifier.mp415.99MB
12. 03-solving-classification-problems/012-naive-bayes-classifier-an-example.mp428.43MB
13. 03-solving-classification-problems/013-knearest-neighbors.mp4111.79MB
14. 03-solving-classification-problems/014-knearest-neighbors-a-few-wrinkles.mp4154.17MB
15. 03-solving-classification-problems/015-support-vector-machines-introduced.mp491.95MB
16. 03-solving-classification-problems/016-support-vector-machines-maximum-margin-hyperplane-and-kernel-trick.mp4173.43MB
17. 03-solving-classification-problems/017-artificial-neural-networksperceptrons-introduced.mp4118.42MB
18. 04-clustering-as-a-form-of-unsupervised-learning/018-clustering-introduction.mp4189.25MB
19. 04-clustering-as-a-form-of-unsupervised-learning/019-clustering-kmeans-and-dbscan.mp4141.58MB
20. 05-association-detection/020-association-rules-learning.mp495MB
21. 06-dimensionality-reduction/021-dimensionality-reduction.mp498.5MB
22. 06-dimensionality-reduction/022-principal-component-analysis.mp4172.65MB
23. 07-regression-as-a-form-of-supervised-learning/023-regression-introduced-linear-and-logistic-regression.mp4140.74MB
24. 07-regression-as-a-form-of-supervised-learning/024-bias-variance-tradeoff.mp4110.76MB
25. 08-natural-language-processing-and-python/025-applying-ml-to-natural-language-processing.mp46.22MB
26. 08-natural-language-processing-and-python/026-installing-python-anaconda-and-pip.mp439.23MB
27. 08-natural-language-processing-and-python/027-natural-language-processing-with-nltk.mp476.16MB
28. 08-natural-language-processing-and-python/028-natural-language-processing-with-nltk-see-it-in-action.mp4118.23MB
29. 08-natural-language-processing-and-python/029-web-scraping-with-beautifulsoup.mp4150.81MB
30. 08-natural-language-processing-and-python/030-a-serious-nlp-application-text-auto-summarization-using-python.mp4121.34MB
31. 08-natural-language-processing-and-python/031-python-drill-autosummarize-news-articles-i.mp4108.27MB
32. 08-natural-language-processing-and-python/032-python-drill-autosummarize-news-articles-ii.mp4120.73MB
33. 08-natural-language-processing-and-python/033-python-drill-autosummarize-news-articles-iii.mp4198.37MB
34. 08-natural-language-processing-and-python/034-put-it-to-work-news-article-classification-using-knearest-neighbors.mp4208.02MB
35. 08-natural-language-processing-and-python/035-put-it-to-work-news-article-classification-using-naive-bayes-classifier.mp4202.25MB
36. 08-natural-language-processing-and-python/036-python-drill-scraping-news-websites.mp4133.18MB
37. 08-natural-language-processing-and-python/037-python-drill-feature-extraction-with-nltk.mp4115.24MB
38. 08-natural-language-processing-and-python/038-python-drill-classification-with-knn.mp430.78MB
39. 08-natural-language-processing-and-python/039-python-drill-classification-with-naive-bayes.mp455.88MB
40. 08-natural-language-processing-and-python/040-document-distance-using-tfidf.mp4106.75MB
41. 08-natural-language-processing-and-python/041-put-it-to-work-news-article-clustering-with-kmeans-and-tfidf.mp4141.29MB
42. 08-natural-language-processing-and-python/042-python-drill-clustering-with-k-means.mp454.37MB
43. 09-sentiment-analysis/043-solve-sentiment-analysis-using-machine-learning.mp454.18MB
44. 09-sentiment-analysis/044-sentiment-analysis-whats-all-the-fuss-about.mp4156.03MB
45. 09-sentiment-analysis/045-ml-solutions-for-sentiment-analysis-the-devil-is-in-the-details.mp4173.59MB
46. 09-sentiment-analysis/046-sentiment-lexicons-with-an-introduction-to-wordnet-and-sentiwordnet.mp4155.63MB
47. 09-sentiment-analysis/047-regular-expressions.mp4153.5MB
48. 09-sentiment-analysis/048-regular-expressions-in-python.mp446.07MB
49. 09-sentiment-analysis/049-put-it-to-work-twitter-sentiment-analysis.mp4148.83MB
50. 09-sentiment-analysis/050-twitter-sentiment-analysis-work-the-api.mp4206.18MB
51. 09-sentiment-analysis/051-twitter-sentiment-analysis-regular-expressions-for-preprocessing.mp4109.47MB
52. 09-sentiment-analysis/052-twitter-sentiment-analysis-naive-bayes-svm-and-sentiwordnet.mp4182.87MB
53. 10-decision-trees/053-using-tree-based-models-for-classification.mp46.15MB
54. 10-decision-trees/054-planting-the-seed-what-are-decision-trees.mp4136.75MB
55. 10-decision-trees/055-growing-the-tree-decision-tree-learning.mp4160.75MB
56. 10-decision-trees/056-branching-out-information-gain.mp4202.31MB
57. 10-decision-trees/057-decision-tree-algorithms.mp465.61MB
58. 10-decision-trees/058-titanic-decision-trees-predict-survival-kaggle-i.mp4114.18MB
59. 10-decision-trees/059-titanic-decision-trees-predict-survival-kaggle-ii.mp496.09MB
60. 10-decision-trees/060-titanic-decision-trees-predict-survival-kaggle-iii.mp475.74MB
61. 11-a-few-useful-things-to-know-about-overfitting/061-overfitting-the-bane-of-machine-learning.mp4151.61MB
62. 11-a-few-useful-things-to-know-about-overfitting/062-overfitting-continued.mp497.62MB
63. 11-a-few-useful-things-to-know-about-overfitting/063-cross-validation.mp4144.97MB
64. 11-a-few-useful-things-to-know-about-overfitting/064-simplicity-is-a-virtue-regularization.mp447.96MB
65. 11-a-few-useful-things-to-know-about-overfitting/065-the-wisdom-of-crowds-ensemble-learning.mp4142.78MB
66. 11-a-few-useful-things-to-know-about-overfitting/066-ensemble-learning-continued-bagging-boosting-and-stacking.mp4182.2MB
67. 12-random-forests/067-random-forests-much-more-than-trees.mp4103.78MB
68. 12-random-forests/068-back-on-the-titanic-cross-validation-and-random-forests.mp4200.8MB
69. 13-recommendation-systems/069-solving-recommendation-problems.mp46.51MB
70. 13-recommendation-systems/070-what-do-amazon-and-netflix-have-in-common.mp4169.69MB
71. 13-recommendation-systems/071-recommendation-engines-a-look-inside.mp498.19MB
72. 13-recommendation-systems/072-what-are-you-made-of-contentbased-filtering.mp4106.91MB
73. 13-recommendation-systems/073-with-a-little-help-from-friends-collaborative-filtering.mp496.83MB
74. 13-recommendation-systems/074-a-neighbourhood-model-for-collaborative-filtering.mp4158.69MB
75. 13-recommendation-systems/075-top-picks-for-you-recommendations-with-neighbourhood-models.mp497.04MB
76. 13-recommendation-systems/076-discover-the-underlying-truth-latent-factor-collaborative-filtering.mp4197.48MB
77. 13-recommendation-systems/077-latent-factor-collaborative-filtering-contd..mp4141.53MB
78. 13-recommendation-systems/078-gray-sheep-and-shillings-challenges-with-collaborative-filtering.mp471.59MB
79. 13-recommendation-systems/079-the-apriori-algorithm-for-association-rules.mp4181.13MB
80. 14-recommendation-systems-in-python/080-back-to-basics-numpy-in-python.mp4122.67MB
81. 14-recommendation-systems-in-python/081-back-to-basics-numpy-and-scipy-in-python.mp484.73MB
82. 14-recommendation-systems-in-python/082-movielens-and-pandas.mp4128.33MB
83. 14-recommendation-systems-in-python/083-code-along-whats-my-favorite-movie-data-analysis-with-pandas.mp426.44MB
84. 14-recommendation-systems-in-python/084-code-along-movie-recommendation-with-nearest-neighbour-cf.mp4159.09MB
85. 14-recommendation-systems-in-python/085-code-along-top-movie-picks-nearest-neighbour-cf.mp456.05MB
86. 14-recommendation-systems-in-python/086-code-along-movie-recommendations-with-matrix-factorization.mp4165.98MB
87. 14-recommendation-systems-in-python/087-code-along-association-rules-with-the-apriori-algorithm.mp448.53MB
88. 15-a-taste-of-deep-learning-and-computer-vision/088-computer-vision-an-introduction.mp4117.1MB
89. 15-a-taste-of-deep-learning-and-computer-vision/089-perceptron-revisited.mp4102.82MB
90. 15-a-taste-of-deep-learning-and-computer-vision/090-deep-learning-networks-introduced.mp4101.8MB
91. 15-a-taste-of-deep-learning-and-computer-vision/091-code-along-handwritten-digit-recognition-i.mp4101.95MB
92. 15-a-taste-of-deep-learning-and-computer-vision/092-code-along-handwritten-digit-recognition-ii.mp4113.82MB
93. 15-a-taste-of-deep-learning-and-computer-vision/093-code-along-handwritten-digit-recognition-iii.mp434.25MB