Udemy - The Supervised Machine Learning Course


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File Size:   2.84 GB
Creat Time:   2024-10-09
Active Degree:   1
Last Active:   2024-10-09
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Tags:    Udemy - The Supervised Machine Learning Course
Statement:   This site does not provide download links, only text displays, and does not contain any infringement.

File List

  1. 6 - Support Vector Machines/58 - Kernels Intuition.mp4 78.90 MB
  2. 6 - Support Vector Machines/64 - Crossvalidation.mp4 78.30 MB
  3. 1 - Introduction/1 - Introduction.mp4 71.57 MB
  4. 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 70.79 MB
  5. 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 68.50 MB
  6. 3 - Naïve Bayes/9 - Bayes Theorem.mp4 67.50 MB
  7. 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 63.90 MB
  8. 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 61.03 MB
  9. 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 60.57 MB
  10. 4 - KNearest Neighbors/37 - Pros and Cons.mp4 56.54 MB
  11. 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 54.48 MB
  12. 7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 54.20 MB
  13. 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 54.08 MB
  14. 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 51.81 MB
  15. 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 51.03 MB
  16. 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 48.48 MB
  17. 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 47.85 MB
  18. 7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 47.79 MB
  19. 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 47.10 MB
  20. 7 - Ridge and Lasso Regression/76 - The Hitters Dataset Preprocessing and Preparation.mp4 47.10 MB
  21. 3 - Naïve Bayes/14 - The YouTube Dataset Preprocessing.mp4 45.02 MB
  22. 4 - KNearest Neighbors/33 - Theory with a Practical Example.mp4 44.80 MB
  23. 3 - Naïve Bayes/6 - Motivation.mp4 44.42 MB
  24. 7 - Ridge and Lasso Regression/71 - Ridge Regression Basics.mp4 44.20 MB
  25. 5 - Decision Trees and Random Forests/44 - Practical Example Plotting the Tree.mp4 44.00 MB
  26. 3 - Naïve Bayes/20 - The YouTube Dataset Changing the Priors.mp4 41.31 MB
  27. 5 - Decision Trees and Random Forests/47 - Tree Pruning Dealing with Overfitting.mp4 40.36 MB
  28. 3 - Naïve Bayes/19 - The YouTube Dataset Accuracy Precision Recall and the F1 score.mp4 38.65 MB
  29. 3 - Naïve Bayes/13 - CountVectorizer.mp4 37.88 MB
  30. 7 - Ridge and Lasso Regression/77 - Exploratory Data Analysis.mp4 37.85 MB
  31. 6 - Support Vector Machines/66 - Hyperparameter tuning using GridSearchCV.mp4 35.99 MB
  32. 5 - Decision Trees and Random Forests/38 - What is a Tree in Computer Science.mp4 35.68 MB
  33. 7 - Ridge and Lasso Regression/75 - Lasso Regression vs Ridge Regression.mp4 34.67 MB
  34. 3 - Naïve Bayes/12 - The YouTube Dataset Creating the Data Frame.mp4 34.56 MB
  35. 3 - Naïve Bayes/7 - Bayes Thought Experiment.mp4 34.47 MB
  36. 4 - KNearest Neighbors/35 - KNN vs Linear Regression A Nonlinear Problem.mp4 33.90 MB
  37. 5 - Decision Trees and Random Forests/43 - Practical Example Creating a Decision Tree.mp4 33.61 MB
  38. 4 - KNearest Neighbors/29 - Random Dataset Choosing the Best Kvalue.mp4 33.42 MB
  39. 5 - Decision Trees and Random Forests/48 - Random Forest as Ensemble Learning.mp4 32.75 MB
  40. 5 - Decision Trees and Random Forests/39 - The Concept of Decision Trees.mp4 32.37 MB
  41. 6 - Support Vector Machines/59 - Intro to the practical case.mp4 32.30 MB
  42. 7 - Ridge and Lasso Regression/80 - Performing Ridge Regression with Crossvalidation.mp4 31.72 MB
  43. 7 - Ridge and Lasso Regression/82 - Comparing the Results.mp4 31.71 MB
  44. 7 - Ridge and Lasso Regression/81 - Performing Lasso Regression with Crossvalidation.mp4 31.71 MB
  45. 7 - Ridge and Lasso Regression/79 - Crossvalidation for Choosing a Tuning Parameter.mp4 31.22 MB
  46. 5 - Decision Trees and Random Forests/49 - Bootstrapping.mp4 30.64 MB
  47. 2 - Setting up the Environment/2 - Installing Anaconda.mp4 30.24 MB
  48. 7 - Ridge and Lasso Regression/68 - Regression Analysis Overview.mp4 30.11 MB
  49. 6 - Support Vector Machines/63 - Analyzing the results– Confusion Matrix Precision and Recall.mp4 28.90 MB
  50. 4 - KNearest Neighbors/25 - Random Dataset Visualizing the Dataset.mp4 28.87 MB

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