[ CourseLala.com ] Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement

Creation Time	Sept. 2, 2024, 4:05 p.m.
Last Access Time	April 14, 2025, 1:07 p.m.
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Keywords	and Neural - CourseLala Deep Machine Computer Reinforcement Learning Skillshare com Networks Vision
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~Get Your Files Here !/29. Naive Bayes example clustering news.mp4 90.4 MB
~Get Your Files Here !/09. Linear regression implementation I.mp4 87.2 MB
~Get Your Files Here !/59. Boosting implementation II wine classification.mp4 76.7 MB
~Get Your Files Here !/27. What is text clustering.mp4 75.1 MB
~Get Your Files Here !/14. Logistic regression example II credit scoring.mp4 66.5 MB
~Get Your Files Here !/66. K means clustering text clustering.mp4 65.8 MB
~Get Your Files Here !/53. Random forests example III OCR parameter tuning.mp4 63.2 MB
~Get Your Files Here !/22. K nearest neighbor implementation II.mp4 50.3 MB
~Get Your Files Here !/62. Principal component analysis example.mp4 49.9 MB
~Get Your Files Here !/34. Support vector machine example I simple.mp4 47.9 MB
~Get Your Files Here !/13. Logistic regression example I sigmoid function.mp4 47.3 MB
~Get Your Files Here !/24. What is the naive Bayes classifier.mp4 46.9 MB
~Get Your Files Here !/71. 008 Hierarchical clustering market segmentation.mp4 46.5 MB
~Get Your Files Here !/63. Principal component analysis example II.mp4 46.3 MB
~Get Your Files Here !/57. Boosting introduction final formula.mp4 45.9 MB
~Get Your Files Here !/07. Linear regression theory optimization.mp4 44.4 MB
~Get Your Files Here !/37. Support vector machine example IV digit recognition.mp4 42.8 MB
~Get Your Files Here !/68. DBSCAN example.mp4 42.3 MB
~Get Your Files Here !/36. Support vector machines example III parameter tuning.mp4 41.6 MB
~Get Your Files Here !/41. Decision trees introduction entropy.mp4 40.5 MB
~Get Your Files Here !/61. Principal component analysis (PCA) introduction.mp4 38.6 MB
~Get Your Files Here !/11. What is logistic regression.mp4 38.2 MB
~Get Your Files Here !/42. Decision trees introduction information gain.mp4 37.8 MB
~Get Your Files Here !/65. K means clustering example.mp4 36.9 MB
~Get Your Files Here !/70. Hierarchical clustering example.mp4 36.6 MB
~Get Your Files Here !/06. What is linear regression.mp4 35.7 MB
~Get Your Files Here !/08. Linear regression theory gradient descent.mp4 35.0 MB
~Get Your Files Here !/31. Linearly separable problems.mp4 34.6 MB
~Get Your Files Here !/04. Types of artificial intelligence learning.mp4 33.0 MB
~Get Your Files Here !/35. Support vector machine example II iris dataset.mp4 32.3 MB
~Get Your Files Here !/43. The Gini index approach.mp4 32.2 MB
~Get Your Files Here !/21. K nearest neighbor implementation I.mp4 31.4 MB
~Get Your Files Here !/05. Fundamentals of statistics.mp4 31.1 MB
~Get Your Files Here !/33. Kernel functions.mp4 31.0 MB
~Get Your Files Here !/58. Boosting implementation I iris dataset.mp4 30.6 MB
~Get Your Files Here !/38. Support vector machine example V digit recognition.mp4 30.5 MB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer.mp4 30.3 MB
~Get Your Files Here !/45. Decision trees implementation I.mp4 29.6 MB
~Get Your Files Here !/40. Decision trees introduction basics.mp4 29.4 MB
~Get Your Files Here !/49. Bagging introduction.mp4 28.2 MB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF).mp4 28.1 MB
~Get Your Files Here !/64. K means clustering introduction.mp4 28.0 MB
~Get Your Files Here !/01. Introduction.mp4 27.9 MB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning.mp4 26.6 MB
~Get Your Files Here !/15. What is cross validation.mp4 26.5 MB
~Get Your Files Here !/16. Cross validation example.mp4 26.1 MB
~Get Your Files Here !/32. Non linearly separable problems.mp4 24.8 MB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation.mp4 24.8 MB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning.mp4 24.2 MB
~Get Your Files Here !/23. K nearest neighbor implementation III.mp4 23.9 MB
~Get Your Files Here !/56. Boosting introduction equations.mp4 21.7 MB
~Get Your Files Here !/51. Random forests example I iris dataset.mp4 21.3 MB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs).mp4 21.3 MB
~Get Your Files Here !/50. Random forest classifier introduction.mp4 20.8 MB
~Get Your Files Here !/19. Distance metrics Euclidean distance.mp4 20.8 MB
~Get Your Files Here !/48. Pruning introduction.mp4 20.3 MB
~Get Your Files Here !/54. Boosting introduction basics.mp4 19.4 MB
~Get Your Files Here !/10. Linear regression implementation II.mp4 19.4 MB
~Get Your Files Here !/18. Concept of lazy learning.mp4 18.6 MB
~Get Your Files Here !/26. Naive Bayes classifier implementation.mp4 17.5 MB
~Get Your Files Here !/69. Hierarchical clustering introduction.mp4 17.4 MB
~Get Your Files Here !/67. DBSCAN introduction.mp4 16.8 MB
~Get Your Files Here !/17. What is the k nearest neighbor classifier.mp4 16.7 MB
~Get Your Files Here !/20. Bias and variance trade off.mp4 15.7 MB
~Get Your Files Here !/55. Boosting introduction illustration.mp4 15.5 MB
~Get Your Files Here !/52. Random forests example II credit scoring.mp4 14.5 MB
~Get Your Files Here !/60. Boosting vs bagging.mp4 14.4 MB
~Get Your Files Here !/25. Naive Bayes classifier illustration.mp4 9.7 MB
~Get Your Files Here !/44. Decision trees introduction pros and cons.mp4 9.2 MB
~Get Your Files Here !/39. Advantages and disadvantages.mp4 7.2 MB
~Get Your Files Here !/02. Installing TensorFlow and Keras.mp4 6.2 MB
~Get Your Files Here !/09. Linear regression implementation I-fr.vtt 23.6 KB
~Get Your Files Here !/09. Linear regression implementation I-de.vtt 23.2 KB
~Get Your Files Here !/29. Naive Bayes example clustering news-fr.vtt 23.0 KB
~Get Your Files Here !/31. Linearly separable problems-de.vtt 22.7 KB
~Get Your Files Here !/31. Linearly separable problems-fr.vtt 22.5 KB
~Get Your Files Here !/09. Linear regression implementation I-es-MX.vtt 22.4 KB
~Get Your Files Here !/29. Naive Bayes example clustering news-es-MX.vtt 22.3 KB
~Get Your Files Here !/29. Naive Bayes example clustering news-de.vtt 22.3 KB
~Get Your Files Here !/09. Linear regression implementation I-pt.vtt 22.0 KB
~Get Your Files Here !/31. Linearly separable problems-es-MX.vtt 22.0 KB
~Get Your Files Here !/29. Naive Bayes example clustering news-pt.vtt 21.9 KB
~Get Your Files Here !/31. Linearly separable problems-pt.vtt 21.6 KB
~Get Your Files Here !/31. Linearly separable problems-en-US.vtt 20.9 KB
~Get Your Files Here !/09. Linear regression implementation I-en-US.vtt 20.9 KB
~Get Your Files Here !/11. What is logistic regression-de.vtt 20.7 KB
~Get Your Files Here !/29. Naive Bayes example clustering news-en-US.vtt 20.7 KB
~Get Your Files Here !/11. What is logistic regression-fr.vtt 20.4 KB
~Get Your Files Here !/11. What is logistic regression-es-MX.vtt 19.8 KB
~Get Your Files Here !/11. What is logistic regression-pt.vtt 19.3 KB
~Get Your Files Here !/11. What is logistic regression-en-US.vtt 18.5 KB
~Get Your Files Here !/24. What is the naive Bayes classifier-fr.vtt 18.4 KB
~Get Your Files Here !/24. What is the naive Bayes classifier-de.vtt 18.4 KB
~Get Your Files Here !/24. What is the naive Bayes classifier-es-MX.vtt 18.1 KB
~Get Your Files Here !/13. Logistic regression example I sigmoid function-fr.vtt 18.1 KB
~Get Your Files Here !/13. Logistic regression example I sigmoid function-de.vtt 17.9 KB
~Get Your Files Here !/34. Support vector machine example I simple-de.vtt 17.8 KB
~Get Your Files Here !/34. Support vector machine example I simple-fr.vtt 17.8 KB
~Get Your Files Here !/24. What is the naive Bayes classifier-pt.vtt 17.7 KB
~Get Your Files Here !/14. Logistic regression example II credit scoring-fr.vtt 17.4 KB
~Get Your Files Here !/14. Logistic regression example II credit scoring-de.vtt 17.4 KB
~Get Your Files Here !/13. Logistic regression example I sigmoid function-es-MX.vtt 17.3 KB
~Get Your Files Here !/34. Support vector machine example I simple-es-MX.vtt 17.2 KB
~Get Your Files Here !/34. Support vector machine example I simple-pt.vtt 17.1 KB
~Get Your Files Here !/33. Kernel functions-fr.vtt 17.0 KB
~Get Your Files Here !/14. Logistic regression example II credit scoring-es-MX.vtt 17.0 KB
~Get Your Files Here !/13. Logistic regression example I sigmoid function-pt.vtt 17.0 KB
~Get Your Files Here !/14. Logistic regression example II credit scoring-pt.vtt 16.5 KB
~Get Your Files Here !/24. What is the naive Bayes classifier-en-US.vtt 16.5 KB
~Get Your Files Here !/33. Kernel functions-de.vtt 16.5 KB
~Get Your Files Here !/64. K means clustering introduction-en-US.vtt 16.5 KB
~Get Your Files Here !/59. Boosting implementation II wine classification-en-US.vtt 16.5 KB
~Get Your Files Here !/13. Logistic regression example I sigmoid function-en-US.vtt 16.4 KB
~Get Your Files Here !/33. Kernel functions-es-MX.vtt 16.4 KB
~Get Your Files Here !/34. Support vector machine example I simple-en-US.vtt 16.2 KB
~Get Your Files Here !/33. Kernel functions-pt.vtt 16.0 KB
~Get Your Files Here !/37. Support vector machine example IV digit recognition-fr.vtt 15.9 KB
~Get Your Files Here !/62. Principal component analysis example-en-US.vtt 15.8 KB
~Get Your Files Here !/14. Logistic regression example II credit scoring-en-US.vtt 15.8 KB
~Get Your Files Here !/06. What is linear regression-de.vtt 15.8 KB
~Get Your Files Here !/37. Support vector machine example IV digit recognition-es-MX.vtt 15.6 KB
~Get Your Files Here !/06. What is linear regression-fr.vtt 15.6 KB
~Get Your Files Here !/43. The Gini index approach-de.vtt 15.3 KB
~Get Your Files Here !/37. Support vector machine example IV digit recognition-de.vtt 15.3 KB
~Get Your Files Here !/43. The Gini index approach-fr.vtt 15.2 KB
~Get Your Files Here !/37. Support vector machine example IV digit recognition-pt.vtt 15.2 KB
~Get Your Files Here !/06. What is linear regression-es-MX.vtt 15.1 KB
~Get Your Files Here !/33. Kernel functions-en-US.vtt 15.1 KB
~Get Your Files Here !/07. Linear regression theory optimization-fr.vtt 14.9 KB
~Get Your Files Here !/04. Types of artificial intelligence learning-fr.vtt 14.9 KB
~Get Your Files Here !/66. K means clustering text clustering-en-US.vtt 14.9 KB
~Get Your Files Here !/43. The Gini index approach-es-MX.vtt 14.9 KB
~Get Your Files Here !/06. What is linear regression-pt.vtt 14.8 KB
~Get Your Files Here !/53. Random forests example III OCR parameter tuning-en-US.vtt 14.7 KB
~Get Your Files Here !/43. The Gini index approach-pt.vtt 14.7 KB
~Get Your Files Here !/04. Types of artificial intelligence learning-es-MX.vtt 14.5 KB
~Get Your Files Here !/04. Types of artificial intelligence learning-de.vtt 14.5 KB
~Get Your Files Here !/07. Linear regression theory optimization-de.vtt 14.5 KB
~Get Your Files Here !/07. Linear regression theory optimization-es-MX.vtt 14.4 KB
~Get Your Files Here !/71. 008 Hierarchical clustering market segmentation-en-US.vtt 14.4 KB
~Get Your Files Here !/37. Support vector machine example IV digit recognition-en-US.vtt 14.3 KB
~Get Your Files Here !/22. K nearest neighbor implementation II-fr.vtt 14.3 KB
~Get Your Files Here !/06. What is linear regression-en-US.vtt 14.2 KB
~Get Your Files Here !/04. Types of artificial intelligence learning-pt.vtt 14.2 KB
~Get Your Files Here !/22. K nearest neighbor implementation II-de.vtt 14.1 KB
~Get Your Files Here !/43. The Gini index approach-en-US.vtt 14.0 KB
~Get Your Files Here !/07. Linear regression theory optimization-pt.vtt 14.0 KB
~Get Your Files Here !/22. K nearest neighbor implementation II-es-MX.vtt 13.9 KB
~Get Your Files Here !/27. What is text clustering-fr.vtt 13.8 KB
~Get Your Files Here !/27. What is text clustering-de.vtt 13.7 KB
~Get Your Files Here !/41. Decision trees introduction entropy-fr.vtt 13.7 KB
~Get Your Files Here !/63. Principal component analysis example II-en-US.vtt 13.7 KB
~Get Your Files Here !/41. Decision trees introduction entropy-de.vtt 13.6 KB
~Get Your Files Here !/22. K nearest neighbor implementation II-pt.vtt 13.5 KB
~Get Your Files Here !/04. Types of artificial intelligence learning-en-US.vtt 13.4 KB
~Get Your Files Here !/27. What is text clustering-es-MX.vtt 13.3 KB
~Get Your Files Here !/41. Decision trees introduction entropy-es-MX.vtt 13.3 KB
~Get Your Files Here !/08. Linear regression theory gradient descent-fr.vtt 13.3 KB
~Get Your Files Here !/27. What is text clustering-pt.vtt 13.2 KB
~Get Your Files Here !/07. Linear regression theory optimization-en-US.vtt 13.2 KB
~Get Your Files Here !/41. Decision trees introduction entropy-pt.vtt 13.0 KB
~Get Your Files Here !/08. Linear regression theory gradient descent-de.vtt 13.0 KB
~Get Your Files Here !/68. DBSCAN example-en-US.vtt 13.0 KB
~Get Your Files Here !/61. Principal component analysis (PCA) introduction-en-US.vtt 12.9 KB
~Get Your Files Here !/40. Decision trees introduction basics-fr.vtt 12.9 KB
~Get Your Files Here !/08. Linear regression theory gradient descent-es-MX.vtt 12.9 KB
~Get Your Files Here !/22. K nearest neighbor implementation II-en-US.vtt 12.8 KB
~Get Your Files Here !/05. Fundamentals of statistics-de.vtt 12.6 KB
~Get Your Files Here !/27. What is text clustering-en-US.vtt 12.6 KB
~Get Your Files Here !/40. Decision trees introduction basics-de.vtt 12.6 KB
~Get Your Files Here !/41. Decision trees introduction entropy-en-US.vtt 12.5 KB
~Get Your Files Here !/05. Fundamentals of statistics-fr.vtt 12.5 KB
~Get Your Files Here !/42. Decision trees introduction information gain-fr.vtt 12.4 KB
~Get Your Files Here !/08. Linear regression theory gradient descent-pt.vtt 12.4 KB
~Get Your Files Here !/42. Decision trees introduction information gain-de.vtt 12.3 KB
~Get Your Files Here !/40. Decision trees introduction basics-es-MX.vtt 12.3 KB
~Get Your Files Here !/36. Support vector machines example III parameter tuning-fr.vtt 12.2 KB
~Get Your Files Here !/57. Boosting introduction final formula-en-US.vtt 12.2 KB
~Get Your Files Here !/32. Non linearly separable problems-fr.vtt 12.1 KB
~Get Your Files Here !/05. Fundamentals of statistics-es-MX.vtt 12.1 KB
~Get Your Files Here !/42. Decision trees introduction information gain-es-MX.vtt 12.1 KB
~Get Your Files Here !/36. Support vector machines example III parameter tuning-de.vtt 12.0 KB
~Get Your Files Here !/05. Fundamentals of statistics-pt.vtt 12.0 KB
~Get Your Files Here !/08. Linear regression theory gradient descent-en-US.vtt 12.0 KB
~Get Your Files Here !/32. Non linearly separable problems-de.vtt 12.0 KB
~Get Your Files Here !/40. Decision trees introduction basics-pt.vtt 12.0 KB
~Get Your Files Here !/65. K means clustering example-en-US.vtt 11.9 KB
~Get Your Files Here !/19. Distance metrics Euclidean distance-de.vtt 11.9 KB
~Get Your Files Here !/19. Distance metrics Euclidean distance-fr.vtt 11.9 KB
~Get Your Files Here !/70. Hierarchical clustering example-en-US.vtt 11.8 KB
~Get Your Files Here !/49. Bagging introduction-en-US.vtt 11.8 KB
~Get Your Files Here !/42. Decision trees introduction information gain-pt.vtt 11.8 KB
~Get Your Files Here !/36. Support vector machines example III parameter tuning-es-MX.vtt 11.8 KB
~Get Your Files Here !/32. Non linearly separable problems-es-MX.vtt 11.7 KB
~Get Your Files Here !/32. Non linearly separable problems-pt.vtt 11.5 KB
~Get Your Files Here !/05. Fundamentals of statistics-en-US.vtt 11.5 KB
~Get Your Files Here !/36. Support vector machines example III parameter tuning-pt.vtt 11.5 KB
~Get Your Files Here !/19. Distance metrics Euclidean distance-es-MX.vtt 11.5 KB
~Get Your Files Here !/42. Decision trees introduction information gain-en-US.vtt 11.4 KB
~Get Your Files Here !/40. Decision trees introduction basics-en-US.vtt 11.3 KB
~Get Your Files Here !/19. Distance metrics Euclidean distance-pt.vtt 11.3 KB
~Get Your Files Here !/21. K nearest neighbor implementation I-fr.vtt 11.2 KB
~Get Your Files Here !/21. K nearest neighbor implementation I-de.vtt 11.1 KB
~Get Your Files Here !/21. K nearest neighbor implementation I-es-MX.vtt 10.9 KB
~Get Your Files Here !/19. Distance metrics Euclidean distance-en-US.vtt 10.9 KB
~Get Your Files Here !/67. DBSCAN introduction-en-US.vtt 10.9 KB
~Get Your Files Here !/35. Support vector machine example II iris dataset-fr.vtt 10.8 KB
~Get Your Files Here !/32. Non linearly separable problems-en-US.vtt 10.8 KB
~Get Your Files Here !/36. Support vector machines example III parameter tuning-en-US.vtt 10.8 KB
~Get Your Files Here !/21. K nearest neighbor implementation I-pt.vtt 10.6 KB
~Get Your Files Here !/15. What is cross validation-fr.vtt 10.6 KB
~Get Your Files Here !/69. Hierarchical clustering introduction-en-US.vtt 10.6 KB
~Get Your Files Here !/35. Support vector machine example II iris dataset-es-MX.vtt 10.5 KB
~Get Your Files Here !/35. Support vector machine example II iris dataset-de.vtt 10.5 KB
~Get Your Files Here !/56. Boosting introduction equations-en-US.vtt 10.5 KB
~Get Your Files Here !/15. What is cross validation-de.vtt 10.4 KB
~Get Your Files Here !/21. K nearest neighbor implementation I-en-US.vtt 10.3 KB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning-fr.vtt 10.3 KB
~Get Your Files Here !/35. Support vector machine example II iris dataset-pt.vtt 10.2 KB
~Get Your Files Here !/17. What is the k nearest neighbor classifier-fr.vtt 10.2 KB
~Get Your Files Here !/17. What is the k nearest neighbor classifier-de.vtt 10.2 KB
~Get Your Files Here !/48. Pruning introduction-en-US.vtt 10.2 KB
~Get Your Files Here !/15. What is cross validation-es-MX.vtt 10.1 KB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning-de.vtt 10.1 KB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning-es-MX.vtt 10.1 KB
~Get Your Files Here !/45. Decision trees implementation I-fr.vtt 10.1 KB
~Get Your Files Here !/15. What is cross validation-pt.vtt 10.0 KB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning-pt.vtt 9.9 KB
~Get Your Files Here !/17. What is the k nearest neighbor classifier-es-MX.vtt 9.9 KB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs)-de.vtt 9.8 KB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs)-fr.vtt 9.7 KB
~Get Your Files Here !/17. What is the k nearest neighbor classifier-pt.vtt 9.6 KB
~Get Your Files Here !/45. Decision trees implementation I-es-MX.vtt 9.5 KB
~Get Your Files Here !/45. Decision trees implementation I-de.vtt 9.5 KB
~Get Your Files Here !/35. Support vector machine example II iris dataset-en-US.vtt 9.5 KB
~Get Your Files Here !/58. Boosting implementation I iris dataset-en-US.vtt 9.5 KB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs)-es-MX.vtt 9.4 KB
~Get Your Files Here !/38. Support vector machine example V digit recognition-fr.vtt 9.4 KB
~Get Your Files Here !/45. Decision trees implementation I-pt.vtt 9.4 KB
~Get Your Files Here !/15. What is cross validation-en-US.vtt 9.2 KB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs)-pt.vtt 9.2 KB
~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning-en-US.vtt 9.2 KB
~Get Your Files Here !/17. What is the k nearest neighbor classifier-en-US.vtt 9.2 KB
~Get Your Files Here !/38. Support vector machine example V digit recognition-de.vtt 9.1 KB
~Get Your Files Here !/38. Support vector machine example V digit recognition-es-MX.vtt 9.1 KB
~Get Your Files Here !/38. Support vector machine example V digit recognition-pt.vtt 8.8 KB
~Get Your Files Here !/30. What are Support Vector Machines (SVMs)-en-US.vtt 8.7 KB
~Get Your Files Here !/45. Decision trees implementation I-en-US.vtt 8.7 KB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation-fr.vtt 8.6 KB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation-de.vtt 8.6 KB
~Get Your Files Here !/16. Cross validation example-fr.vtt 8.6 KB
~Get Your Files Here !/50. Random forest classifier introduction-en-US.vtt 8.6 KB
~Get Your Files Here !/16. Cross validation example-de.vtt 8.6 KB
~Get Your Files Here !/16. Cross validation example-es-MX.vtt 8.4 KB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation-es-MX.vtt 8.3 KB
~Get Your Files Here !/55. Boosting introduction illustration-en-US.vtt 8.3 KB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF)-fr.vtt 8.3 KB
~Get Your Files Here !/38. Support vector machine example V digit recognition-en-US.vtt 8.2 KB
~Get Your Files Here !/16. Cross validation example-pt.vtt 8.2 KB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer-fr.vtt 8.0 KB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation-pt.vtt 8.0 KB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer-de.vtt 8.0 KB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning-fr.vtt 8.0 KB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF)-de.vtt 7.9 KB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning-de.vtt 7.9 KB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF)-es-MX.vtt 7.8 KB
~Get Your Files Here !/16. Cross validation example-en-US.vtt 7.8 KB
~Get Your Files Here !/25. Naive Bayes classifier illustration-de.vtt 7.8 KB
~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation-en-US.vtt 7.7 KB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer-es-MX.vtt 7.7 KB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF)-pt.vtt 7.7 KB
~Get Your Files Here !/25. Naive Bayes classifier illustration-fr.vtt 7.6 KB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning-es-MX.vtt 7.5 KB
~Get Your Files Here !/25. Naive Bayes classifier illustration-es-MX.vtt 7.5 KB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning-pt.vtt 7.5 KB
~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF)-en-US.vtt 7.5 KB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer-pt.vtt 7.4 KB
~Get Your Files Here !/25. Naive Bayes classifier illustration-pt.vtt 7.3 KB
~Get Your Files Here !/10. Linear regression implementation II-fr.vtt 7.2 KB
~Get Your Files Here !/47. Decision tree implementation III identifying cancer-en-US.vtt 7.1 KB
~Get Your Files Here !/25. Naive Bayes classifier illustration-en-US.vtt 7.1 KB
~Get Your Files Here !/10. Linear regression implementation II-de.vtt 7.0 KB
~Get Your Files Here !/23. K nearest neighbor implementation III-de.vtt 7.0 KB
~Get Your Files Here !/26. Naive Bayes classifier implementation-fr.vtt 7.0 KB
~Get Your Files Here !/23. K nearest neighbor implementation III-fr.vtt 7.0 KB
~Get Your Files Here !/10. Linear regression implementation II-es-MX.vtt 6.9 KB
~Get Your Files Here !/46. Decision trees implementation II parameter tuning-en-US.vtt 6.8 KB
~Get Your Files Here !/26. Naive Bayes classifier implementation-de.vtt 6.8 KB
~Get Your Files Here !/20. Bias and variance trade off-de.vtt 6.8 KB
~Get Your Files Here !/26. Naive Bayes classifier implementation-es-MX.vtt 6.7 KB
~Get Your Files Here !/23. K nearest neighbor implementation III-es-MX.vtt 6.7 KB
~Get Your Files Here !/10. Linear regression implementation II-pt.vtt 6.7 KB
~Get Your Files Here !/20. Bias and variance trade off-fr.vtt 6.6 KB
~Get Your Files Here !/26. Naive Bayes classifier implementation-pt.vtt 6.6 KB
~Get Your Files Here !/23. K nearest neighbor implementation III-pt.vtt 6.6 KB
~Get Your Files Here !/01. Introduction-fr.vtt 6.5 KB
~Get Your Files Here !/51. Random forests example I iris dataset-en-US.vtt 6.5 KB
~Get Your Files Here !/18. Concept of lazy learning-fr.vtt 6.5 KB
~Get Your Files Here !/10. Linear regression implementation II-en-US.vtt 6.5 KB
~Get Your Files Here !/54. Boosting introduction basics-en-US.vtt 6.4 KB
~Get Your Files Here !/20. Bias and variance trade off-es-MX.vtt 6.3 KB
~Get Your Files Here !/18. Concept of lazy learning-es-MX.vtt 6.3 KB
~Get Your Files Here !/01. Introduction-de.vtt 6.3 KB
~Get Your Files Here !/18. Concept of lazy learning-de.vtt 6.3 KB
~Get Your Files Here !/23. K nearest neighbor implementation III-en-US.vtt 6.3 KB
~Get Your Files Here !/18. Concept of lazy learning-pt.vtt 6.3 KB
~Get Your Files Here !/01. Introduction-es-MX.vtt 6.2 KB
~Get Your Files Here !/20. Bias and variance trade off-pt.vtt 6.2 KB
~Get Your Files Here !/01. Introduction-pt.vtt 6.2 KB
~Get Your Files Here !/26. Naive Bayes classifier implementation-en-US.vtt 6.2 KB
~Get Your Files Here !/20. Bias and variance trade off-en-US.vtt 6.0 KB
~Get Your Files Here !/01. Introduction-en-US.vtt 5.8 KB
~Get Your Files Here !/18. Concept of lazy learning-en-US.vtt 5.8 KB
~Get Your Files Here !/52. Random forests example II credit scoring-en-US.vtt 5.3 KB
~Get Your Files Here !/39. Advantages and disadvantages-de.vtt 4.9 KB
~Get Your Files Here !/39. Advantages and disadvantages-fr.vtt 4.9 KB
~Get Your Files Here !/60. Boosting vs bagging-en-US.vtt 4.8 KB
~Get Your Files Here !/39. Advantages and disadvantages-es-MX.vtt 4.7 KB
~Get Your Files Here !/39. Advantages and disadvantages-pt.vtt 4.7 KB
~Get Your Files Here !/39. Advantages and disadvantages-en-US.vtt 4.4 KB
~Get Your Files Here !/44. Decision trees introduction pros and cons-fr.vtt 4.3 KB
~Get Your Files Here !/44. Decision trees introduction pros and cons-de.vtt 4.3 KB
~Get Your Files Here !/44. Decision trees introduction pros and cons-es-MX.vtt 4.2 KB
~Get Your Files Here !/44. Decision trees introduction pros and cons-pt.vtt 4.1 KB
~Get Your Files Here !/44. Decision trees introduction pros and cons-en-US.vtt 3.8 KB
~Get Your Files Here !/02. Installing TensorFlow and Keras-fr.vtt 3.5 KB
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~Get Your Files Here !/02. Installing TensorFlow and Keras-pt.vtt 3.4 KB
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~Get Your Files Here !/Bonus Resources.txt 386 bytes
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