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01. Introduction-de.vtt
01. Introduction-en-US.vtt
01. Introduction-es-MX.vtt
01. Introduction-fr.vtt
01. Introduction-pt.vtt
01. Introduction.mp4
02. Installing TensorFlow and Keras-de.vtt
02. Installing TensorFlow and Keras-en-US.vtt
02. Installing TensorFlow and Keras-es-MX.vtt
02. Installing TensorFlow and Keras-fr.vtt
02. Installing TensorFlow and Keras-pt.vtt
02. Installing TensorFlow and Keras.mp4
03. Why to learn artificial intelligence and machine learning-de.vtt
03. Why to learn artificial intelligence and machine learning-en-US.vtt
03. Why to learn artificial intelligence and machine learning-es-MX.vtt
03. Why to learn artificial intelligence and machine learning-fr.vtt
03. Why to learn artificial intelligence and machine learning-pt.vtt
03. Why to learn artificial intelligence and machine learning.mp4
04. Types of artificial intelligence learning-de.vtt
04. Types of artificial intelligence learning-en-US.vtt
04. Types of artificial intelligence learning-es-MX.vtt
04. Types of artificial intelligence learning-fr.vtt
04. Types of artificial intelligence learning-pt.vtt
04. Types of artificial intelligence learning.mp4
05. Fundamentals of statistics-de.vtt
05. Fundamentals of statistics-en-US.vtt
05. Fundamentals of statistics-es-MX.vtt
05. Fundamentals of statistics-fr.vtt
05. Fundamentals of statistics-pt.vtt
05. Fundamentals of statistics.mp4
06. What is linear regression-de.vtt
06. What is linear regression-en-US.vtt
06. What is linear regression-es-MX.vtt
06. What is linear regression-fr.vtt
06. What is linear regression-pt.vtt
06. What is linear regression.mp4
07. Linear regression theory optimization-de.vtt
07. Linear regression theory optimization-en-US.vtt
07. Linear regression theory optimization-es-MX.vtt
07. Linear regression theory optimization-fr.vtt
07. Linear regression theory optimization-pt.vtt
07. Linear regression theory optimization.mp4
08. Linear regression theory gradient descent-de.vtt
08. Linear regression theory gradient descent-en-US.vtt
08. Linear regression theory gradient descent-es-MX.vtt
08. Linear regression theory gradient descent-fr.vtt
08. Linear regression theory gradient descent-pt.vtt
08. Linear regression theory gradient descent.mp4
09. Linear regression implementation I-de.vtt
09. Linear regression implementation I-en-US.vtt
09. Linear regression implementation I-es-MX.vtt
09. Linear regression implementation I-fr.vtt
09. Linear regression implementation I-pt.vtt
09. Linear regression implementation I.mp4
10. Linear regression implementation II-de.vtt
10. Linear regression implementation II-en-US.vtt
10. Linear regression implementation II-es-MX.vtt
10. Linear regression implementation II-fr.vtt
10. Linear regression implementation II-pt.vtt
10. Linear regression implementation II.mp4
11. What is logistic regression-de.vtt
11. What is logistic regression-en-US.vtt
11. What is logistic regression-es-MX.vtt
11. What is logistic regression-fr.vtt
11. What is logistic regression-pt.vtt
11. What is logistic regression.mp4
12. Logistic regression and maximum likelihood estimation-de.vtt
12. Logistic regression and maximum likelihood estimation-en-US.vtt
12. Logistic regression and maximum likelihood estimation-es-MX.vtt
12. Logistic regression and maximum likelihood estimation-fr.vtt
12. Logistic regression and maximum likelihood estimation-pt.vtt
12. Logistic regression and maximum likelihood estimation.mp4
13. Logistic regression example I sigmoid function-de.vtt
13. Logistic regression example I sigmoid function-en-US.vtt
13. Logistic regression example I sigmoid function-es-MX.vtt
13. Logistic regression example I sigmoid function-fr.vtt
13. Logistic regression example I sigmoid function-pt.vtt
13. Logistic regression example I sigmoid function.mp4
14. Logistic regression example II credit scoring-de.vtt
14. Logistic regression example II credit scoring-en-US.vtt
14. Logistic regression example II credit scoring-es-MX.vtt
14. Logistic regression example II credit scoring-fr.vtt
14. Logistic regression example II credit scoring-pt.vtt
14. Logistic regression example II credit scoring.mp4
15. What is cross validation-de.vtt
15. What is cross validation-en-US.vtt
15. What is cross validation-es-MX.vtt
15. What is cross validation-fr.vtt
15. What is cross validation-pt.vtt
15. What is cross validation.mp4
16. Cross validation example-de.vtt
16. Cross validation example-en-US.vtt
16. Cross validation example-es-MX.vtt
16. Cross validation example-fr.vtt
16. Cross validation example-pt.vtt
16. Cross validation example.mp4
17. What is the k nearest neighbor classifier-de.vtt
17. What is the k nearest neighbor classifier-en-US.vtt
17. What is the k nearest neighbor classifier-es-MX.vtt
17. What is the k nearest neighbor classifier-fr.vtt
17. What is the k nearest neighbor classifier-pt.vtt
17. What is the k nearest neighbor classifier.mp4
18. Concept of lazy learning-de.vtt
18. Concept of lazy learning-en-US.vtt
18. Concept of lazy learning-es-MX.vtt
18. Concept of lazy learning-fr.vtt
18. Concept of lazy learning-pt.vtt
18. Concept of lazy learning.mp4
19. Distance metrics Euclidean distance-de.vtt
19. Distance metrics Euclidean distance-en-US.vtt
19. Distance metrics Euclidean distance-es-MX.vtt
19. Distance metrics Euclidean distance-fr.vtt
19. Distance metrics Euclidean distance-pt.vtt
19. Distance metrics Euclidean distance.mp4
20. Bias and variance trade off-de.vtt
20. Bias and variance trade off-en-US.vtt
20. Bias and variance trade off-es-MX.vtt
20. Bias and variance trade off-fr.vtt
20. Bias and variance trade off-pt.vtt
20. Bias and variance trade off.mp4
21. K nearest neighbor implementation I-de.vtt
21. K nearest neighbor implementation I-en-US.vtt
21. K nearest neighbor implementation I-es-MX.vtt
21. K nearest neighbor implementation I-fr.vtt
21. K nearest neighbor implementation I-pt.vtt
21. K nearest neighbor implementation I.mp4
22. K nearest neighbor implementation II-de.vtt
22. K nearest neighbor implementation II-en-US.vtt
22. K nearest neighbor implementation II-es-MX.vtt
22. K nearest neighbor implementation II-fr.vtt
22. K nearest neighbor implementation II-pt.vtt
22. K nearest neighbor implementation II.mp4
23. K nearest neighbor implementation III-de.vtt
23. K nearest neighbor implementation III-en-US.vtt
23. K nearest neighbor implementation III-es-MX.vtt
23. K nearest neighbor implementation III-fr.vtt
23. K nearest neighbor implementation III-pt.vtt
23. K nearest neighbor implementation III.mp4
24. What is the naive Bayes classifier-de.vtt
24. What is the naive Bayes classifier-en-US.vtt
24. What is the naive Bayes classifier-es-MX.vtt
24. What is the naive Bayes classifier-fr.vtt
24. What is the naive Bayes classifier-pt.vtt
24. What is the naive Bayes classifier.mp4
25. Naive Bayes classifier illustration-de.vtt
25. Naive Bayes classifier illustration-en-US.vtt
25. Naive Bayes classifier illustration-es-MX.vtt
25. Naive Bayes classifier illustration-fr.vtt
25. Naive Bayes classifier illustration-pt.vtt
25. Naive Bayes classifier illustration.mp4
26. Naive Bayes classifier implementation-de.vtt
26. Naive Bayes classifier implementation-en-US.vtt
26. Naive Bayes classifier implementation-es-MX.vtt
26. Naive Bayes classifier implementation-fr.vtt
26. Naive Bayes classifier implementation-pt.vtt
26. Naive Bayes classifier implementation.mp4
27. What is text clustering-de.vtt
27. What is text clustering-en-US.vtt
27. What is text clustering-es-MX.vtt
27. What is text clustering-fr.vtt
27. What is text clustering-pt.vtt
27. What is text clustering.mp4
28. Text clustering inverse document frequency (TF IDF)-de.vtt
28. Text clustering inverse document frequency (TF IDF)-en-US.vtt
28. Text clustering inverse document frequency (TF IDF)-es-MX.vtt
28. Text clustering inverse document frequency (TF IDF)-fr.vtt
28. Text clustering inverse document frequency (TF IDF)-pt.vtt
28. Text clustering inverse document frequency (TF IDF).mp4
29. Naive Bayes example clustering news-de.vtt
29. Naive Bayes example clustering news-en-US.vtt
29. Naive Bayes example clustering news-es-MX.vtt
29. Naive Bayes example clustering news-fr.vtt
29. Naive Bayes example clustering news-pt.vtt
29. Naive Bayes example clustering news.mp4
30. What are Support Vector Machines (SVMs)-de.vtt
30. What are Support Vector Machines (SVMs)-en-US.vtt
30. What are Support Vector Machines (SVMs)-es-MX.vtt
30. What are Support Vector Machines (SVMs)-fr.vtt
30. What are Support Vector Machines (SVMs)-pt.vtt
30. What are Support Vector Machines (SVMs).mp4
31. Linearly separable problems-de.vtt
31. Linearly separable problems-en-US.vtt
31. Linearly separable problems-es-MX.vtt
31. Linearly separable problems-fr.vtt
31. Linearly separable problems-pt.vtt
31. Linearly separable problems.mp4
32. Non linearly separable problems-de.vtt
32. Non linearly separable problems-en-US.vtt
32. Non linearly separable problems-es-MX.vtt
32. Non linearly separable problems-fr.vtt
32. Non linearly separable problems-pt.vtt
32. Non linearly separable problems.mp4
33. Kernel functions-de.vtt
33. Kernel functions-en-US.vtt
33. Kernel functions-es-MX.vtt
33. Kernel functions-fr.vtt
33. Kernel functions-pt.vtt
33. Kernel functions.mp4
34. Support vector machine example I simple-de.vtt
34. Support vector machine example I simple-en-US.vtt
34. Support vector machine example I simple-es-MX.vtt
34. Support vector machine example I simple-fr.vtt
34. Support vector machine example I simple-pt.vtt
34. Support vector machine example I simple.mp4
35. Support vector machine example II iris dataset-de.vtt
35. Support vector machine example II iris dataset-en-US.vtt
35. Support vector machine example II iris dataset-es-MX.vtt
35. Support vector machine example II iris dataset-fr.vtt
35. Support vector machine example II iris dataset-pt.vtt
35. Support vector machine example II iris dataset.mp4
36. Support vector machines example III parameter tuning-de.vtt
36. Support vector machines example III parameter tuning-en-US.vtt
36. Support vector machines example III parameter tuning-es-MX.vtt
36. Support vector machines example III parameter tuning-fr.vtt
36. Support vector machines example III parameter tuning-pt.vtt
36. Support vector machines example III parameter tuning.mp4
37. Support vector machine example IV digit recognition-de.vtt
37. Support vector machine example IV digit recognition-en-US.vtt
37. Support vector machine example IV digit recognition-es-MX.vtt
37. Support vector machine example IV digit recognition-fr.vtt
37. Support vector machine example IV digit recognition-pt.vtt
37. Support vector machine example IV digit recognition.mp4
38. Support vector machine example V digit recognition-de.vtt
38. Support vector machine example V digit recognition-en-US.vtt
38. Support vector machine example V digit recognition-es-MX.vtt
38. Support vector machine example V digit recognition-fr.vtt
38. Support vector machine example V digit recognition-pt.vtt
38. Support vector machine example V digit recognition.mp4
39. Advantages and disadvantages-de.vtt
39. Advantages and disadvantages-en-US.vtt
39. Advantages and disadvantages-es-MX.vtt
39. Advantages and disadvantages-fr.vtt
39. Advantages and disadvantages-pt.vtt
39. Advantages and disadvantages.mp4
40. Decision trees introduction basics-de.vtt
40. Decision trees introduction basics-en-US.vtt
40. Decision trees introduction basics-es-MX.vtt
40. Decision trees introduction basics-fr.vtt
40. Decision trees introduction basics-pt.vtt
40. Decision trees introduction basics.mp4
41. Decision trees introduction entropy-de.vtt
41. Decision trees introduction entropy-en-US.vtt
41. Decision trees introduction entropy-es-MX.vtt
41. Decision trees introduction entropy-fr.vtt
41. Decision trees introduction entropy-pt.vtt
41. Decision trees introduction entropy.mp4
42. Decision trees introduction information gain-de.vtt
42. Decision trees introduction information gain-en-US.vtt
42. Decision trees introduction information gain-es-MX.vtt
42. Decision trees introduction information gain-fr.vtt
42. Decision trees introduction information gain-pt.vtt
42. Decision trees introduction information gain.mp4
43. The Gini index approach-de.vtt
43. The Gini index approach-en-US.vtt
43. The Gini index approach-es-MX.vtt
43. The Gini index approach-fr.vtt
43. The Gini index approach-pt.vtt
43. The Gini index approach.mp4
44. Decision trees introduction pros and cons-de.vtt
44. Decision trees introduction pros and cons-en-US.vtt
44. Decision trees introduction pros and cons-es-MX.vtt
44. Decision trees introduction pros and cons-fr.vtt
44. Decision trees introduction pros and cons-pt.vtt
44. Decision trees introduction pros and cons.mp4
45. Decision trees implementation I-de.vtt
45. Decision trees implementation I-en-US.vtt
45. Decision trees implementation I-es-MX.vtt
45. Decision trees implementation I-fr.vtt
45. Decision trees implementation I-pt.vtt
45. Decision trees implementation I.mp4
46. Decision trees implementation II parameter tuning-de.vtt
46. Decision trees implementation II parameter tuning-en-US.vtt
46. Decision trees implementation II parameter tuning-es-MX.vtt
46. Decision trees implementation II parameter tuning-fr.vtt
46. Decision trees implementation II parameter tuning-pt.vtt
46. Decision trees implementation II parameter tuning.mp4
47. Decision tree implementation III identifying cancer-de.vtt
47. Decision tree implementation III identifying cancer-en-US.vtt
47. Decision tree implementation III identifying cancer-es-MX.vtt
47. Decision tree implementation III identifying cancer-fr.vtt
47. Decision tree implementation III identifying cancer-pt.vtt
47. Decision tree implementation III identifying cancer.mp4
48. Pruning introduction-en-US.vtt
48. Pruning introduction.mp4
49. Bagging introduction-en-US.vtt
49. Bagging introduction.mp4
50. Random forest classifier introduction-en-US.vtt
50. Random forest classifier introduction.mp4
51. Random forests example I iris dataset-en-US.vtt
51. Random forests example I iris dataset.mp4
52. Random forests example II credit scoring-en-US.vtt
52. Random forests example II credit scoring.mp4
53. Random forests example III OCR parameter tuning-en-US.vtt
53. Random forests example III OCR parameter tuning.mp4
54. Boosting introduction basics-en-US.vtt
54. Boosting introduction basics.mp4
55. Boosting introduction illustration-en-US.vtt
55. Boosting introduction illustration.mp4
56. Boosting introduction equations-en-US.vtt
56. Boosting introduction equations.mp4
57. Boosting introduction final formula-en-US.vtt
57. Boosting introduction final formula.mp4
58. Boosting implementation I iris dataset-en-US.vtt
58. Boosting implementation I iris dataset.mp4
59. Boosting implementation II wine classification-en-US.vtt
59. Boosting implementation II wine classification.mp4
60. Boosting vs bagging-en-US.vtt
60. Boosting vs bagging.mp4
61. Principal component analysis (PCA) introduction-en-US.vtt
61. Principal component analysis (PCA) introduction.mp4
62. Principal component analysis example-en-US.vtt
62. Principal component analysis example.mp4
63. Principal component analysis example II-en-US.vtt
63. Principal component analysis example II.mp4
64. K means clustering introduction-en-US.vtt
64. K means clustering introduction.mp4
65. K means clustering example-en-US.vtt
65. K means clustering example.mp4
66. K means clustering text clustering-en-US.vtt
66. K means clustering text clustering.mp4
67. DBSCAN introduction-en-US.vtt
67. DBSCAN introduction.mp4
68. DBSCAN example-en-US.vtt
68. DBSCAN example.mp4
69. Hierarchical clustering introduction-en-US.vtt
69. Hierarchical clustering introduction.mp4
70. Hierarchical clustering example-en-US.vtt
70. Hierarchical clustering example.mp4
71. 008 Hierarchical clustering market segmentation-en-US.vtt
71. 008 Hierarchical clustering market segmentation.mp4
Bonus Resources.txt
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