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Machine Learning Made Easy - Beginner to Advanced using R

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视频 2021-5-1 06:19 2025-1-11 09:51 122 1.88 GB 129
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文件列表
  1. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1. Getting Started.mp410.21MB
  2. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/2. R Environment.mp49.64MB
  3. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/3. R Packages.mp411.06MB
  4. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.mp431.75MB
  5. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.mp426.97MB
  6. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.mp421.12MB
  7. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/7. Factor and Matrix.mp47.71MB
  8. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.mp422.09MB
  9. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/9. R Functions.mp49.69MB
  10. Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.mp415.29MB
  11. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1. Introduction to Data Handling.mp42.63MB
  12. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/2. Importing the Datasets.mp412.31MB
  13. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/3. Checklist.mp412.07MB
  14. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/4. Subsetting the Data.mp410.08MB
  15. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/5. Subsetting Variable Condition.mp414.99MB
  16. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/6. Calculated Fields_ifelse.mp415.8MB
  17. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.mp421.67MB
  18. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/8. Joining and Merging.mp412.01MB
  19. Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/9. Exporting the Data.mp48.58MB
  20. Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1. Introduction and Sampling.mp46.41MB
  21. Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.mp418.23MB
  22. Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/3. Percentiles and Quartiles.mp48.57MB
  23. Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/4. Box Plots.mp410.23MB
  24. Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/5. Creating Graphs and Conclusions.mp416.56MB
  25. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1. Introduction to Data Cleaning and Model Building Cycle.mp43.67MB
  26. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/2. Model Building Cycle.mp412.9MB
  27. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/3. Data Cleaning Case Study.mp413.82MB
  28. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.mp424.28MB
  29. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/5. Variable Level Exploration Catagorical.mp47.78MB
  30. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.mp425.65MB
  31. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.mp429.99MB
  32. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.mp428.9MB
  33. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/9. Data Cleaning and Treatment.mp413.56MB
  34. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/10. Step four Treatment-Scenario 1.mp415.48MB
  35. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.mp420.93MB
  36. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/12. Data Cleaning Scenario 3.mp411.61MB
  37. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/13. Some Other Variables.mp45.23MB
  38. Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/14. Conclusions.mp43.9MB
  39. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.mp427.31MB
  40. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/2. LBA Correlation Calculation in R.mp48.09MB
  41. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/3. Beyond Pearson Correlation.mp45.46MB
  42. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/4. From Correlation to Regression.mp415.37MB
  43. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/5. Regression Line Fitting in R.mp414.54MB
  44. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/6. R Squared.mp420.88MB
  45. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/7. Multiple Regression.mp417.71MB
  46. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/8. Adjusted R Squared.mp47.78MB
  47. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/9. Issue with Multiple Regression.mp423.93MB
  48. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/10. Multicollinearity.mp422.75MB
  49. Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/11. Regression Conclusion.mp44.06MB
  50. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1. Need of Non-Linear Regression.mp424.16MB
  51. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/2. Logistic Function and Line.mp416.3MB
  52. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/3. Multiple Logistic Regression.mp413.43MB
  53. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/4. Goodness of Fit for a Logistic Regression.mp420.63MB
  54. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/5. Multicollinearity in Logistic Regression.mp412.17MB
  55. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/6. Individual Impact of Variables.mp49.72MB
  56. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/7. Model Selection.mp423.69MB
  57. Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/8. Logistic Regression Conclusion.mp42.41MB
  58. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/1. Introduction to Decision Tree and Segmentation.mp411.07MB
  59. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/2. The Decision Tree Philosophy & The Decision Tree Approach.mp425.4MB
  60. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/3. The Splitting Criterion & Entropy Calculation.mp427.8MB
  61. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/4. Information Gain & Calculation.mp415.96MB
  62. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/5. The Decision Tree Algorithm.mp418.66MB
  63. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/6. Split for Variable & The Decision Tree Lab - Part 1.mp428.54MB
  64. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/7. The Decision Tree Lab - Part 2 & Validation.mp427.41MB
  65. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/8. The Decision Tree Lab - Part 3 & Overfitting.mp436.69MB
  66. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/9. Pruning & Complexity Parameters.mp49.93MB
  67. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/10. Choosing Cp & Cross Validation Error.mp423.79MB
  68. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/11. Two Types of Pruning.mp46.95MB
  69. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/12. Tree Building and Model Selection.mp437.09MB
  70. Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/13. Conclusion.mp43.43MB
  71. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/1. Introduction to Model Selection.mp43.47MB
  72. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/2. Sensitivity Specificity.mp419.12MB
  73. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/3. Sensitivity Specificity Continued.mp418.44MB
  74. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/4. ROC AUC.mp422.46MB
  75. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/5. The Best Model.mp49.6MB
  76. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/6. Errors.mp410.07MB
  77. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/7. Overfitting Underfitting.mp428.5MB
  78. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/8. Bias_Variance Treadoff.mp416.83MB
  79. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/9. Holdout Data Validation.mp412.27MB
  80. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/10. Ten fold CV.mp423.64MB
  81. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/11. Kfold CV.mp418.32MB
  82. Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/12. MSCV Conclusion.mp43.15MB
  83. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/1. Introduction and Logistic Regression Recap.mp416.05MB
  84. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/2. Decision Boundary.mp46.39MB
  85. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/3. Non Linear Decision Boundary NN.mp414.16MB
  86. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/4. Non Linear Decision Boundary and Solution.mp428.44MB
  87. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/5. Neural Net Intution.mp413.72MB
  88. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/6. Neural Net Algorithm.mp412.32MB
  89. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/7. Neural Net Algorithm Demo.mp411.74MB
  90. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/8. Building a Neural Network.mp424.58MB
  91. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/9. Local Vs Global Min.mp410.1MB
  92. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/10. Digit Recognizer second attempt part1.mp411.77MB
  93. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/11. Digit Recognizer second attempt part2.mp418.22MB
  94. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/12. Lab Digit Reconizer.mp411.13MB
  95. Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/13. Conclusion.mp411.17MB
  96. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/1. Introduction to SVM.mp43.74MB
  97. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/2. The Classifier and Decision Boundary.mp411.39MB
  98. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/3. SVM- The Large Margin Classifier.mp42.92MB
  99. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/4. The SVM Alogirithm and Results.mp47.09MB
  100. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/5. SVM on R.mp411.55MB
  101. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/6. Non Linear Boundary.mp46.53MB
  102. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/7. Kernal Trick.mp410.87MB
  103. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/8. Kernal Trick on R.mp417.61MB
  104. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/9. Soft Margin and Validation.mp46.39MB
  105. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/10. SVM Advantage, Disadvantage and Applications.mp44.96MB
  106. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/11. Lab Digit Reconizer.mp424.81MB
  107. Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/12. SVM Conclusion.mp42.02MB
  108. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1. Introduction to Bagging RF Boosting.mp41.42MB
  109. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/2. Wisdom of Crowd.mp410.44MB
  110. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/3. Ensemble Learning.mp410.98MB
  111. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/4. Ensamble Models.mp411.53MB
  112. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/5. Bagging.mp414.34MB
  113. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/6. Bagging Models.mp416.53MB
  114. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/7. Random Forest.mp422.15MB
  115. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/8. Random Forest Lab.mp413.1MB
  116. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/9. Boosting.mp413.19MB
  117. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/10. Boosting Illustration.mp414.77MB
  118. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/11. Boosting Lab.mp429.33MB
  119. Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/12. Conclusion.mp47.1MB
  120. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1. Introduction to Clustering via Segmentation.mp416.53MB
  121. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/2. Types of Cluster.mp47.74MB
  122. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/3. Similiarities and Dissimilarity.mp411.07MB
  123. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/4. Calculating the Distance.mp48.12MB
  124. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/5. Calculating Distance in R.mp410.2MB
  125. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/6. Clustering Algorithms- Kmeans.mp421.99MB
  126. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/7. Kmeans Clustering on R.mp426.15MB
  127. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/8. More on Kmeans.mp425.7MB
  128. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/9. Data Standardisation and Non-numeric Data.mp421.72MB
  129. Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/10. Clustering Conclusion.mp44.13MB
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