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[ ] Udemy - Machine Deep Learning for Biology with Python and Tensorflow

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文件列表

  1. ~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 223MB
  2. ~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 167MB
  3. ~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 161MB
  4. ~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 131MB
  5. ~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 118MB
  6. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 118MB
  7. ~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 110MB
  8. ~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 106MB
  9. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 104MB
  10. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 103MB
  11. ~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 87MB
  12. ~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 86MB
  13. ~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 84MB
  14. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 83MB
  15. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 80MB
  16. ~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 79MB
  17. ~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 79MB
  18. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 77MB
  19. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 75MB
  20. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 73MB
  21. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.mp4 68MB
  22. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.mp4 65MB
  23. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.mp4 64MB
  24. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.mp4 62MB
  25. ~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.mp4 60MB
  26. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.mp4 59MB
  27. ~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.mp4 57MB
  28. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.mp4 57MB
  29. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.mp4 56MB
  30. ~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.mp4 55MB
  31. ~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.mp4 53MB
  32. ~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.mp4 52MB
  33. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.mp4 52MB
  34. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.mp4 50MB
  35. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.mp4 49MB
  36. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.mp4 49MB
  37. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.mp4 48MB
  38. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.mp4 45MB
  39. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.mp4 42MB
  40. ~Get Your Files Here !/1. Chapter 1/8. 04. Collections.mp4 42MB
  41. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.mp4 39MB
  42. ~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.mp4 39MB
  43. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.mp4 39MB
  44. ~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.mp4 38MB
  45. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/3. 01 What Is K Nearest Neighbors.mp4 37MB
  46. ~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.mp4 36MB
  47. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/1. 03A What Is The Random Forest Classifier Model.mp4 34MB
  48. ~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.mp4 34MB
  49. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.mp4 32MB
  50. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.mp4 30MB
  51. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.mp4 29MB
  52. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.mp4 29MB
  53. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/6. 04B Reduce Data Dimensionality With Principal Component Analysis.mp4 29MB
  54. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.mp4 28MB
  55. ~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.mp4 28MB
  56. ~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.mp4 27MB
  57. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/1. 00 Project Preview.mp4 27MB
  58. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/2. 03B Build More Regression Models And Find The Best One.mp4 26MB
  59. ~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.mp4 26MB
  60. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.mp4 25MB
  61. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/2. 04B Build A Logistic Regression Model.mp4 25MB
  62. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.mp4 24MB
  63. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.mp4 23MB
  64. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/6. 03F Build An Svm Model To Classify Malignant Vs Benign Mass.mp4 23MB
  65. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/1. 03A Why Do We Need SVM.mp4 23MB
  66. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/2. 03B How Does SVM Work.mp4 21MB
  67. ~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.mp4 21MB
  68. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.mp4 19MB
  69. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/1. 04A What Is Logistic Regression.mp4 19MB
  70. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/1. 00 Project Preview.mp4 17MB
  71. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/1. 00 Project Preview.mp4 16MB
  72. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.mp4 16MB
  73. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/4. 03D What Are SVM Kernels.mp4 16MB
  74. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/3. 03C SVM On Non-Linear Data.mp4 16MB
  75. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/5. 03E What Is The Precision-Recall Score.mp4 15MB
  76. ~Get Your Files Here !/1. Chapter 1/2. What you'll need.mp4 14MB
  77. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/1. 00 Project Preview.mp4 11MB
  78. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.mp4 10MB
  79. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.9 flow-cytometry-40k.txt 3MB
  80. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.9 What is the Random Forest Classifier Model (1).pptx 2MB
  81. ~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pptx 2MB
  82. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.5 05 Visualize linear regression with Matplotlib Pyplot.ipynb 2MB
  83. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.3 04 Select top features via variance threshold.ipynb 2MB
  84. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.1 03 Build more regression models and find the best one.ipynb 2MB
  85. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.3 02 Build a K Nearest neighbors regression model to predict diabetes.ipynb 2MB
  86. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is Deep Learning.pptx 2MB
  87. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.5 Diabetes dataset visual.png 1MB
  88. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/05a What is Ada Boost.pptx 1MB
  89. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.1 01 Load and analyze data.ipynb 1MB
  90. ~Get Your Files Here !/1. Chapter 1/Source Files/What is Supervised Learning.pptx 1MB
  91. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pptx 1015KB
  92. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is a Neural Network.pptx 1000KB
  93. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pptx 978KB
  94. ~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pptx 943KB
  95. ~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pptx 881KB
  96. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pptx 837KB
  97. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.7 What is K Nearest Neighbours.pptx 834KB
  98. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/What is Unsupervised Learning.pptx 825KB
  99. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03a Why do we need SVM.pptx 823KB
  100. ~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pptx 791KB
  101. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/3.1 Source files.zip 756KB
  102. ~Get Your Files Here !/1. Chapter 1/Source files - Course overview/01 What you'll need.pptx 752KB
  103. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pptx 734KB
  104. ~Get Your Files Here !/1. Chapter 1/Source files - Course overview/00 Course Overview - Machine Learning for BIology.pdf 731KB
  105. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03c SVM on Non-Linear Data.pptx 710KB
  106. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.11 What is Principal Component Analysis.pptx 659KB
  107. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.12 What is Principal Component Analysis.pptx 659KB
  108. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is Deep Learning.pdf 637KB
  109. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pptx 632KB
  110. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pptx 626KB
  111. ~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pptx 592KB
  112. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03e What is the precision-recall score.pptx 589KB
  113. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pptx 583KB
  114. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/06 Visualize clusters found via KMeans.ipynb 518KB
  115. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/03a What is Nested Cross Validation.pdf 504KB
  116. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/05a What is Ada Boost.pdf 475KB
  117. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03b How does SVM work.pdf 439KB
  118. ~Get Your Files Here !/1. Chapter 1/Source Files/What is Supervised Learning.pdf 387KB
  119. ~Get Your Files Here !/1. Chapter 1/Intro to Python Slides.pdf 374KB
  120. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03a Why do we need SVM.pdf 368KB
  121. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.8 What is the Random Forest Classifier Model (1).pdf 368KB
  122. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/Source files/What is a Neural Network.pdf 344KB
  123. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03d What are SVM kernels.pdf 336KB
  124. ~Get Your Files Here !/1. Chapter 1/Source Files/Regression Slides.pdf 332KB
  125. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/04a What is stochastic gradient descent.pdf 332KB
  126. ~Get Your Files Here !/1. Chapter 1/Source Files/Types of Machine Learning Models.pdf 311KB
  127. ~Get Your Files Here !/1. Chapter 1/Source Files/01 What is Machine Learning.pdf 305KB
  128. ~Get Your Files Here !/1. Chapter 1/Source files - Course overview/01 What you'll need - Machine Learning and Deep Learning for Biology with Python and TensorFlow.pdf 278KB
  129. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/What is Unsupervised Learning.pdf 243KB
  130. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.6 What is K Nearest Neighbours.pdf 237KB
  131. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03c SVM on Non-Linear Data.pdf 209KB
  132. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/01a What is Cross Validation.pdf 193KB
  133. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/05 Build a KMeans clustering model.ipynb 186KB
  134. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.5 06 Build a K Nearest Neighbors machine learning model.ipynb 183KB
  135. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/02a What is grid search cross validation.pdf 155KB
  136. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/04a Make Decisions with Decision Trees.pdf 151KB
  137. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.10 What is Principal Component Analysis.pdf 149KB
  138. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/03e What is the precision-recall score.pdf 145KB
  139. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.3 05 Build an Ada Boost classifier.ipynb 143KB
  140. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.1 04 Build a linear classifier with stochastic gradient descent.ipynb 130KB
  141. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.7 04 Reduce data dimensionality with principal component analysis.ipynb 127KB
  142. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.5 03 Process data for machine learning.ipynb 125KB
  143. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.3 02 Clean data with missing values.ipynb 119KB
  144. ~Get Your Files Here !/1. Chapter 1/Source Files/What is Linear Regression.pdf 115KB
  145. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.2 02 Clean and preprocess heart disease data for machine learning.ipynb 61KB
  146. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.7 04 Compare models with nested cross validation.ipynb 57KB
  147. ~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.srt 55KB
  148. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.5 03 Find best model parameters with nested cross validation.ipynb 55KB
  149. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.3 02 Find optimal hyperparameters with grid search.ipynb 53KB
  150. ~Get Your Files Here !/1. Chapter 1/15. 11. Loops.srt 48KB
  151. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.1 01 Find model error with cross validation.ipynb 47KB
  152. ~Get Your Files Here !/1. Chapter 1/7. 03. Operators.srt 45KB
  153. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7.1 03 Build an SVM model to classify malignant vs benign mass.ipynb 42KB
  154. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/02 Preprocess cancer data for machine learning/02 Preprocess cancer data for machine learning.ipynb 37KB
  155. ~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.srt 36KB
  156. ~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.srt 33KB
  157. ~Get Your Files Here !/1. Chapter 1/5. 01. Variables.srt 31KB
  158. ~Get Your Files Here !/1. Chapter 1/Python_Language_Basics.ipynb 29KB
  159. ~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.srt 28KB
  160. ~Get Your Files Here !/1. Chapter 1/16. 12. Functions.srt 28KB
  161. ~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.srt 27KB
  162. ~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.srt 24KB
  163. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.5 cleaned_heart_disease_data.csv 23KB
  164. ~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.srt 23KB
  165. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.7 Linear regression results.png 22KB
  166. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.1 01 Load and analyze blood cell data.ipynb 22KB
  167. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/5. 03A What Is Nested Cross Validation.srt 20KB
  168. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.6 processed.cleveland.csv 18KB
  169. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.7 processed.cleveland.data 18KB
  170. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/processed.cleveland.csv 18KB
  171. ~Get Your Files Here !/1. Chapter 1/6. 02. Type Conversion Examples.srt 17KB
  172. ~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.srt 17KB
  173. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.srt 17KB
  174. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/2. 05B What Is K Means Clustering.srt 16KB
  175. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.srt 16KB
  176. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/3. 05C Build A Kmeans Clustering Model.srt 16KB
  177. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/01 Load and analyze cancer dataset/01 Load and analyze cancer dataset.ipynb 16KB
  178. ~Get Your Files Here !/1. Chapter 1/4. 00. Intro To Course And Python.srt 15KB
  179. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.srt 15KB
  180. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.srt 15KB
  181. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/1. 04A What Is Stochastic Gradient Descent.srt 15KB
  182. ~Get Your Files Here !/1. Chapter 1/10. 06. Tuples Examples.srt 14KB
  183. ~Get Your Files Here !/1. Chapter 1/12. 08. Ranges Examples.srt 14KB
  184. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.srt 14KB
  185. ~Get Your Files Here !/1. Chapter 1/26. 01 Regression Introduction.srt 14KB
  186. ~Get Your Files Here !/1. Chapter 1/8. 04. Collections.srt 13KB
  187. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/7. 04A What Is The Decision Tree Model.srt 13KB
  188. ~Get Your Files Here !/1. Chapter 1/24. What Is Supervised Learning.srt 13KB
  189. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.srt 12KB
  190. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/4. 02B Find Optimal Hyperparameters With Grid Search.srt 12KB
  191. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/4. 03 Process Data For Machine Learning.srt 12KB
  192. ~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/2. 02 What Is A Neural Network.srt 12KB
  193. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/3. 03 Process Heart Disease Data For Machine Learning.srt 12KB
  194. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.srt 12KB
  195. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/3. 01 What Is K Nearest Neighbors.srt 11KB
  196. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/4. 06 Visualize Clusters Found Via Kmeans.srt 11KB
  197. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/1. 05A What Is Unsupervised Learning.srt 11KB
  198. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/3. 02 Visualize Malaria Cell Images.srt 11KB
  199. ~Get Your Files Here !/1. Chapter 1/13. 09. Conditionals.srt 10KB
  200. ~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/1. 01 What Is Deep Learning.srt 10KB
  201. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/5. 06 Build A K Nearest Neighbors Machine Learning Model.srt 10KB
  202. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.srt 10KB
  203. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/1. 01A What Is Cross Validation.srt 10KB
  204. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/2. 04B Build A Linear Classifier With Stochastic Gradient Descent.srt 9KB
  205. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/4. 03 Extract A Subset Of Samples.srt 9KB
  206. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/5. 04A What Is Principal Component Analysis.srt 9KB
  207. ~Get Your Files Here !/1. Chapter 1/1. Course Overview - Machine Learning For Biology.srt 9KB
  208. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/4. 05B Build An Ada Boost Classifier.srt 9KB
  209. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/1. 03A Why Do We Need SVM.srt 8KB
  210. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/1. 03A What Is The Random Forest Classifier Model.srt 8KB
  211. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/4. 05 Visualize Linear Regression With Matplotlib Pyplot.srt 8KB
  212. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/2. 03B How Does SVM Work.srt 8KB
  213. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/3. 05A What Is Ada Boost.srt 7KB
  214. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/3. 02A What Is Grid Search Cross Validation.srt 7KB
  215. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/5. 04 Build A Neural Network.srt 7KB
  216. ~Get Your Files Here !/1. Chapter 1/23. What Is Machine Learning.srt 7KB
  217. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/2. 01 Load And Analyze Cancer Dataset.srt 7KB
  218. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/3. 02 Preprocess Cancer Data For Machine Learning.srt 7KB
  219. ~Get Your Files Here !/1. Chapter 1/21. 17. Summary And Outro.srt 6KB
  220. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/5. 03E What Is The Precision-Recall Score.srt 6KB
  221. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/6. 04B Reduce Data Dimensionality With Principal Component Analysis.srt 6KB
  222. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/3. 03C SVM On Non-Linear Data.srt 6KB
  223. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/6. 03B Find Best Model Parameters With Nested Cross Validation.srt 6KB
  224. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/4. 03D What Are SVM Kernels.srt 6KB
  225. ~Get Your Files Here !/1. Chapter 1/28. 03 What Is Linear Regression.srt 6KB
  226. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/2. 01 Load Data Via Tensorflow.srt 5KB
  227. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/1. 04A What Is Logistic Regression.srt 5KB
  228. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/06 Visualize clusters found via KMeans.py 5KB
  229. ~Get Your Files Here !/1. Chapter 1/2. What you'll need.srt 5KB
  230. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.6 06 Build a K Nearest Neighbors machine learning model.py 5KB
  231. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/6. 03F Build An Svm Model To Classify Malignant Vs Benign Mass.srt 5KB
  232. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/8. 04B Compare Models With Nested Cross Validation.srt 5KB
  233. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/2. 03B Build More Regression Models And Find The Best One.srt 5KB
  234. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/2. 01B Find Model Error With Cross Validation.srt 5KB
  235. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/2. 04B Build A Logistic Regression Model.srt 4KB
  236. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.4 05 Build an Ada Boost classifier.py 4KB
  237. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/Source files - Cluster blood cells based on fluorescent intensities/05 Build a KMeans clustering model.py 4KB
  238. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.8 04 Compare models with nested cross validation.py 4KB
  239. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/1. 00 Project Preview.srt 4KB
  240. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6.2 04 Build a linear classifier with stochastic gradient descent.py 4KB
  241. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.6 03 Find best model parameters with nested cross validation.py 3KB
  242. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.8 04 Reduce data dimensionality with principal component analysis.py 3KB
  243. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.4 02 Find optimal hyperparameters with grid search.py 3KB
  244. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.4 03 Process heart disease data for machine learning.py 3KB
  245. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/1. 00 Project Preview.srt 3KB
  246. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.6 05 Visualize linear regression with Matplotlib Pyplot.py 3KB
  247. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.6 03 Process data for machine learning.py 2KB
  248. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/1. 00 Project Preview.srt 2KB
  249. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.4 04 Select top features via variance threshold.py 2KB
  250. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.3 02 Clean and preprocess heart disease data for machine learning.py 2KB
  251. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9.2 01 Find model error with cross validation.py 2KB
  252. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.4 02 Clean data with missing values.py 2KB
  253. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5.2 03 Build more regression models and find the best one.py 2KB
  254. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.4 02 Build a K Nearest neighbors regression model to predict diabetes.py 1KB
  255. ~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/1. 00 Project Preview.srt 1KB
  256. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7.2 03 Build an SVM model to classify malignant vs benign mass.py 1KB
  257. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4.1 01 Load and analyze blood cell data.py 1019B
  258. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7.2 01 Load and analyze blood cell data.py 1019B
  259. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/02 Preprocess cancer data for machine learning/02 Preprocess cancer data for machine learning.py 881B
  260. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5.2 01 Load and analyze data.py 684B
  261. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/09 Source files/01 Load and analyze cancer dataset/01 Load and analyze cancer dataset.py 434B
  262. ~Get Your Files Here !/Bonus Resources.txt 357B
  263. Get Bonus Downloads Here.url 182B
  264. ~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/4. Source Files.html 34B
  265. ~Get Your Files Here !/11. 14 Predict heart disease with machine learning/6. Source Files.html 34B
  266. ~Get Your Files Here !/12. 15 Deep learning and neural networks introduction/3. Source Files.html 34B
  267. ~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/5. Source Files.html 34B
  268. ~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/7. Source Files.html 34B
  269. ~Get Your Files Here !/5. 08 Cluster blood cells based on fluorescent intensities/5. Source Files.html 34B
  270. ~Get Your Files Here !/6. 09 Preprocess a malignant vs benign cancer mass dataset/4. Source Files.html 34B
  271. ~Get Your Files Here !/7. 10 Build an SVM model to classify malignant vs benign cancer mass/7. Source Files.html 34B
  272. ~Get Your Files Here !/9. 12 Improve model accuracy with tuning methods/9. Source Files.html 34B
  273. ~Get Your Files Here !/8. 11 Build a logistic regression model to classify malignant vs benign cancer mass/3. Source Files.html 29B
  274. ~Get Your Files Here !/1. Chapter 1/22. Source Code.html 27B
  275. ~Get Your Files Here !/1. Chapter 1/25. Source Files.html 27B
  276. ~Get Your Files Here !/1. Chapter 1/29. Source Files.html 27B
  277. ~Get Your Files Here !/1. Chapter 1/3. Source Files.html 27B
  278. ~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/5. Source Files.html 27B