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MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)

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MACHINE LEARNING MASTER CLASS AI MADE EASY Zero to Hero!!

文件列表
  1. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/20. Multiple linear regression/2. Multiple linear regression behind the scene - Part 1.mp4160.26MB
  2. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/2. Scatter plot on Iris dataset.mp4153.44MB
  3. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/5. Python Module and packages/2. User defined packages.mp4144.43MB
  4. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/21. Polynomial regression/1. Polynomial regression.mp4143.82MB
  5. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/30. ML Concept - K-Fold validation, GridSearch/2. Updated template with GridSearchCV.mp4143.32MB
  6. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/7. CAP curve with multiple models and multi-class.mp4135.67MB
  7. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/29. Regression - Regression models master template/1. Master template regression model - Data creation.mp4134.74MB
  8. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/1. ROC, AUC and PR curve background.mp4131.44MB
  9. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/8. Assignment solution and OneHotEncoding - Part 02.mp4126.22MB
  10. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/3. ROC, AUC - Calculating the optimal threshold (Youdens method).mp4124.39MB
  11. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/21. Polynomial regression/2. Polynomial regression on multiple feature dataset.mp4119.27MB
  12. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/41. GridSearchCV, RandomizedSearchCV and KFold validation/2. RandomizedSearchCV.mp4115.41MB
  13. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/43. Ensemble techniques/1. Voting classifier.mp4114.74MB
  14. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/7. Assignment solution and OneHotEncoding - Part 01.mp4113.21MB
  15. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/1. Why Co-relation is important.mp4110.46MB
  16. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/5. Pre-processing re-visited.mp4110.43MB
  17. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/41. GridSearchCV, RandomizedSearchCV and KFold validation/1. Updated template with GridSearchCV.mp4109MB
  18. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/7. Feature selection.mp4106.13MB
  19. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/2. DataFrame introduction.mp498.14MB
  20. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/4. Test and train data split and Feature scaling.mp497.95MB
  21. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/10. Python Files/3. Read mode, write mode and methods.mp497.06MB
  22. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/1. Python Setting up/2. Jupyter notebook.mp495.43MB
  23. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/5. Seaborn plots.mp495.29MB
  24. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/19. Linear Regression/2. Linear regression implementation in python - Part 1.mp492.47MB
  25. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/30. ML Concept - K-Fold validation, GridSearch/3. K Fold cross validation without GridSearchCV.mp491.91MB
  26. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/23. Decision Tree regression/3. Visualization of decision tree model.mp489.29MB
  27. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/7. Percentiles, moment and Quantiles.mp488.76MB
  28. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/6. Gaussian naive Bayes under Python & Visualization of models.mp488.47MB
  29. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/5. Under and over sampling.mp487.64MB
  30. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/5. BeginsWith endsWith and dot character.mp486.88MB
  31. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/5. Python Module and packages/1. Python packages.mp486.78MB
  32. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/7. Python Errors handling/2. Error types, else and finally.mp486.25MB
  33. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/22. Before we move forward/3. Gradient decent in 2D and 3D space.mp485.14MB
  34. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/4. The log scale.mp483.64MB
  35. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/17. Linear Algebra basics for ML/4. Vector Multiplication.mp482.95MB
  36. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/3. Matplotlib Subplot and histogram.mp482.54MB
  37. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/23. Decision Tree regression/1. Measuring Entropy & Gini impurity.mp481.94MB
  38. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/4. Multiple, multi level inheritance and MRO.mp479.77MB
  39. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/5. Gaussian naive bayes.mp477.43MB
  40. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/13. More useful modules/2. Random under numpy and Arange.mp477.09MB
  41. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/1. Python Setting up/1. Python setting up.mp476.7MB
  42. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/8. Python decorators and Generators/3. Python generators.mp476.1MB
  43. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/3. DataFrame Selections.mp475.65MB
  44. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/40. Classification - Classification model master template/2. Classification model master template with evaluation and different data set.mp475.15MB
  45. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/20. Multiple linear regression/3. Multiple linear regression behind the scene - Part 2.mp475.1MB
  46. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/6. Range, enumerate and zip.mp475MB
  47. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/39. ML Concept - Evaluation techniques (Manual)/4. Confusion matrix 3D.mp474.97MB
  48. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/1. Bayes theorem.mp473.79MB
  49. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/8. Python decorators and Generators/1. Python decorators.mp472.83MB
  50. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/1. Regular expression introduction.mp472.46MB
  51. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/5. Concatenation.mp472.27MB
  52. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/3. Repetition and range.mp471.55MB
  53. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/2. handling missing data.mp471.55MB
  54. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/6. Pre-processing re-visited continues.mp471.21MB
  55. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/16. Connect on LinkedIn, It's good!.mp471.04MB
  56. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/1. Data import.mp471.04MB
  57. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/13. More useful modules/1. Python random class.mp470.59MB
  58. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/20. Multiple linear regression/1. Multiple linear regression in Python.mp469.61MB
  59. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/4. ROC, AUC - Calculating the optimal threshold (best Accuracy method).mp469.34MB
  60. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/2. Matplotlib Bar-graph and multiple plotting.mp468.58MB
  61. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/30. ML Concept - K-Fold validation, GridSearch/4. K Fold cross validation without GridSearchCV continues.mp468.43MB
  62. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/3. Pair plot and limitations.mp467.83MB
  63. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/38. Classification - AdaBoost and XGBoost classifier/1. AdaBoost and XGBoost classifier.mp467.66MB
  64. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/5. Maps, Filters and Lambdas.mp467.55MB
  65. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/6. CAP curve implementation.mp466.97MB
  66. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/26. Regression - AdaBoost and XGBoost regressor/1. AdaBoost and XGBoost regressor.mp466.97MB
  67. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/39. ML Concept - Evaluation techniques (Manual)/3. Accuracy, precision, recall, Specificity, F1 Score.mp466.1MB
  68. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/6. Special class methods.mp465.81MB
  69. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/3. Multinomial naive bayes.mp465.01MB
  70. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/36. Classification - Support Vector machines/4. SVM implementation using python.mp464.16MB
  71. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/13. More useful modules/3. Python collections.mp464.02MB
  72. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/25. Bagging and boosting/2. Boosting.mp463.93MB
  73. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/10. Python Files/2. Paths.mp462.83MB
  74. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/32. Classification - K-nearest neighbors algorithm (KNN)/1. KNN background.mp462.26MB
  75. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/9. Discussion forum.mp461.62MB
  76. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/4. Greedy, non-greedy matches and findall.mp461.45MB
  77. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/2. ROC, AUC - Evaluating best model.mp461.12MB
  78. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/5. String Start Stop and Step.mp461.02MB
  79. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/3. Scopes.mp460.95MB
  80. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/22. Before we move forward/2. Gradient decent - Background.mp460.51MB
  81. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/1. Python Setting up/3. Pycharm python IDE.mp460.5MB
  82. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/32. Classification - K-nearest neighbors algorithm (KNN)/3. Visualization and few more things.mp459.82MB
  83. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/37. Classification - Decision Tree and Random forest/1. Decision Tree and Random forest.mp459.49MB
  84. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/40. Classification - Classification model master template/1. Classification model master template.mp457.9MB
  85. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/7. About Project files.mp457.65MB
  86. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/5. Python Module and packages/3. User defined packages continues.mp457.59MB
  87. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/3. Random array based methods.mp457.4MB
  88. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/3. Co-relation.mp457.39MB
  89. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/2. Co-variance.mp457.34MB
  90. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/36. Classification - Support Vector machines/1. SVM getting started with 1D data.mp457.31MB
  91. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/7. Univariate Analysis using PDF.mp457.29MB
  92. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/6. Matpotlib Wireframe surface plotting.mp457.02MB
  93. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/1. Python Setting up/4. Update Anaconda website updated.mp456.04MB
  94. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/1. Matplotlib simple plot, line graphs.mp454.56MB
  95. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/10. Sets.mp454.49MB
  96. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/5. Matplotlib 3D scatter and simple plot.mp454.46MB
  97. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/5. Matrices selection and conditional selection.mp454.39MB
  98. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/44. Model deployment basics/2. Prediction using value.mp454.35MB
  99. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/13. More useful modules/4. Python counter from collections.mp454.21MB
  100. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/1. Data types.mp454.01MB
  101. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/42. Evaluation techniques using curves (ROC,AUC, PR, CAP)/5. CAP curve background.mp453.9MB
  102. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/23. Decision Tree regression/2. Decision Tree implementation with 1 feature.mp453.8MB
  103. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/23. Decision Tree regression/4. Decision Tree implementation - multiple features.mp453.75MB
  104. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/8. Boxplot and Violin Plot.mp453.07MB
  105. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/8. Python decorators and Generators/2. Class method decorator.mp452.76MB
  106. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/35. Few good things to know about ML/1. Euler's number.mp452.69MB
  107. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/24. Random forest regression/2. Random Forest.mp452.61MB
  108. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/24. Random forest regression/1. Ensemble Learning.mp452.57MB
  109. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/2. Unsupervised learning.mp452.5MB
  110. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/34. Naive bayes classification/2. Likelihood vs probability.mp452.32MB
  111. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/33. Logistic regression classifier/2. Logistic regression background.mp452.01MB
  112. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/1. Naming conventions and introduction.mp451.97MB
  113. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/28. Regression - Evaluation technique background (Regression)/1. R-square.mp451.66MB
  114. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/6. Most common data distributions, PDF and PMF.mp451.44MB
  115. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/44. Model deployment basics/1. Model deployment basics.mp451.39MB
  116. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/33. Logistic regression classifier/1. Why Logistic regression.mp451.02MB
  117. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/4. args and kwargs.mp450.95MB
  118. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/6. Lambda once again.mp449.68MB
  119. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/32. Classification - K-nearest neighbors algorithm (KNN)/2. KNN in python.mp448.73MB
  120. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/14. Python Matplotlib/4. Matplotlib Scatter plots and Pie charts.mp448.53MB
  121. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/3. Feature selection and Encoding categorical data.mp448.21MB
  122. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/2. Regular expression, grouping and pipe.mp448.18MB
  123. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/15. Logical operators.mp447.88MB
  124. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/36. Classification - Support Vector machines/2. SVM, mapping higher dimension.mp447.8MB
  125. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/1. User-defined functions.mp447.47MB
  126. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/32. Classification - K-nearest neighbors algorithm (KNN)/4. LabelEncoding classes.mp447.16MB
  127. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/1. Introduction to ML & Supervised learning.mp446.91MB
  128. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/25. Bagging and boosting/1. Bagging.mp446.11MB
  129. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/39. ML Concept - Evaluation techniques (Manual)/1. The accuracy, not so accurate.mp446.01MB
  130. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/1. If ElIf & else.mp445.31MB
  131. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/1. Setting up.mp444.98MB
  132. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/6. Facetgrid plots.mp444.71MB
  133. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/2. NumPy array functions - Array generate.mp444.64MB
  134. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/36. Classification - Support Vector machines/3. SVM, in 2D space.mp444.62MB
  135. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/32. Classification - K-nearest neighbors algorithm (KNN)/5. KNN on multi class classification.mp444.32MB
  136. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/4. Slicing and broadcast.mp444.14MB
  137. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/9. List shorting, reversing, removing, clear, list of list.mp444.09MB
  138. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/7. Python Errors handling/1. Try except finally.mp443.07MB
  139. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/33. Logistic regression classifier/4. Logistic regression on multi-class classification.mp442.81MB
  140. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/9. HeatMap.mp442.78MB
  141. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/1. Panda series.mp442.26MB
  142. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/1. Python Setting up/5. Meet your Author.mp442.1MB
  143. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/22. Before we move forward/1. Bias, Variance and overfitting.mp442.05MB
  144. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/3. Inheritance.mp441.99MB
  145. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/33. Logistic regression classifier/3. Logistic regression under python.mp441.68MB
  146. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/2. Class attributes and Methods.mp441.19MB
  147. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/6. Python OOPS in python/5. Polymorphism.mp441.14MB
  148. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/11. Python Numpy/6. Numpy operations.mp440.69MB
  149. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/8. Literal matching, Sub and verbose.mp439.87MB
  150. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/1. Autocomplete on jupyter notebook.mp438.7MB
  151. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/7. String formatting.mp438.45MB
  152. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/39. ML Concept - Evaluation techniques (Manual)/2. Confusion matrix.mp438.24MB
  153. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/19. Linear Regression/1. Linear regression working and Cost function.mp437.6MB
  154. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/7. Sets.mp437.51MB
  155. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/5. Break, continue and pass.mp437.34MB
  156. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/4. GroupBy.mp437.28MB
  157. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/4. String basics.mp435.29MB
  158. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/19. Linear Regression/3. Linear regression implementation in python - Part 2.mp435.27MB
  159. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/3. For loop.mp435MB
  160. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/12. Dictionary in python.mp434.2MB
  161. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/4. Curse of dimensionality.mp433.81MB
  162. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/8. Lists in Python.mp433.36MB
  163. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/12. Python Pandas/6. Operations.mp432.99MB
  164. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/5. Standard deviation.mp432.77MB
  165. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/18. Pre-processing/6. Assignment and tips.mp432.58MB
  166. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/2. While loop.mp432.48MB
  167. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/3. Variables and assignment.mp431.81MB
  168. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/4. Tuple unpacking.mp431.28MB
  169. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/45. Thanks a ton!/1. Thanks for taking this course.mp429.77MB
  170. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/33. Logistic regression classifier/5. Logistic regression on multi-class classification under python.mp429.53MB
  171. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/2. Python numbers.mp428.92MB
  172. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/17. Linear Algebra basics for ML/5. Identity matrix, matrix inverse properties, transpose of matrix.mp428.77MB
  173. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/9. Python Regular expression/6. BeginsWith endsWith and dot character continues.mp428.65MB
  174. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/7. In.mp428.47MB
  175. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/14. Comparison operators.mp428.3MB
  176. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/35. Few good things to know about ML/2. Balanced vs imbalanced data.mp428.07MB
  177. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/3. Python Statements/8. Input and import.mp428MB
  178. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/27. Regression - SVM (regression)/1. SVM (regression) Background.mp426.94MB
  179. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/11. Tuples.mp426.73MB
  180. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/31. Pre-processing revisited/8. Short discussion.mp426.28MB
  181. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/16. Visualisation ( Exploratory Data Analysis) with Seaborn/4. Tips dataset.mp426.08MB
  182. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/13. More useful modules/5. Math Matrix multiplication.mp424.07MB
  183. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/3. Type of data.mp423.76MB
  184. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/4. Python Method and Functions/2. Help function.mp423.59MB
  185. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/17. Linear Algebra basics for ML/3. Matrix multiplication.mp423.39MB
  186. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/17. Linear Algebra basics for ML/1. Matrices.mp423.32MB
  187. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/29. Regression - Regression models master template/2. Master template regression model - Models and evaluation.mp421.98MB
  188. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/27. Regression - SVM (regression)/2. SVR under Python.mp421.73MB
  189. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/13. None and Bool.mp421.66MB
  190. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/28. Regression - Evaluation technique background (Regression)/2. Adjusted R-Square.mp421.56MB
  191. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/2. Python Basics/6. String slicing.mp420.04MB
  192. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/30. ML Concept - K-Fold validation, GridSearch/1. K Fold cross validation.mp420.01MB
  193. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/10. Python Files/1. Files introduction.mp416.81MB
  194. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/15. ML Before we start/4. Mean Mode median.mp415.96MB
  195. [TutsNode.com] - MACHINE LEARNING MASTER CLASS, AI MADE EASY (Zero to Hero!!)/17. Linear Algebra basics for ML/2. Matrix operations and scalar operations.mp413.99MB
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