[GigaCourse.Com] Udemy - Python for Machine Learning The Complete Beginner's Course

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    • Files
    1. 0. Websites you may like/[CourseClub.Me].url122 B
    2. 0. Websites you may like/[FreeAllCourse.Com].url55 B
    3. 0. Websites you may like/[GigaCourse.Com].url49 B
    4. 1. Introduction to Machine Learning/0. Websites you may like/[CourseClub.Me].url122 B
    5. 1. Introduction to Machine Learning/0. Websites you may like/[FreeAllCourse.Com].url55 B
    6. 1. Introduction to Machine Learning/0. Websites you may like/[GigaCourse.Com].url49 B
    7. 1. Introduction to Machine Learning/1. What is Machine Learning.mp47.48 MB
    8. 1. Introduction to Machine Learning/1. What is Machine Learning.srt2.08 KB
    9. 1. Introduction to Machine Learning/2. Applications of Machine Learning.mp46.51 MB
    10. 1. Introduction to Machine Learning/2. Applications of Machine Learning.srt1.92 KB
    11. 1. Introduction to Machine Learning/3. Machine learning Methods.mp43.70 MB
    12. 1. Introduction to Machine Learning/3. Machine learning Methods.srt437 B
    13. 1. Introduction to Machine Learning/4. What is Supervised learning.mp46.23 MB
    14. 1. Introduction to Machine Learning/4. What is Supervised learning.srt1.28 KB
    15. 1. Introduction to Machine Learning/5. What is Unsupervised learning.mp45.95 MB
    16. 1. Introduction to Machine Learning/5. What is Unsupervised learning.srt1.01 KB
    17. 1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp414.33 MB
    18. 1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.srt4.45 KB
    19. 1. Introduction to Machine Learning/7. Course Materials.html148 B
    20. 1. Introduction to Machine Learning/7.1 50_Startups.csv2.38 KB
    21. 1. Introduction to Machine Learning/7.10 Movie_Id_Titles.original49.78 KB
    22. 1. Introduction to Machine Learning/7.11 MultipleLinearRegression.ipynb8.54 KB
    23. 1. Introduction to Machine Learning/7.12 Recommender Systems with Python.ipynb122.38 KB
    24. 1. Introduction to Machine Learning/7.13 salaries.csv657 B
    25. 1. Introduction to Machine Learning/7.14 u.data1.98 MB
    26. 1. Introduction to Machine Learning/7.15 user data.csv10.67 KB
    27. 1. Introduction to Machine Learning/7.2 Decision_tree.ipynb14.31 KB
    28. 1. Introduction to Machine Learning/7.3 homeprices.csv77 B
    29. 1. Introduction to Machine Learning/7.4 K-means algorithm numpy&pandas clustering.ipynb102.34 KB
    30. 1. Introduction to Machine Learning/7.5 KNN_Binary_Classification.ipynb25.20 KB
    31. 1. Introduction to Machine Learning/7.6 linear_regression_houseprice.ipynb16.34 KB
    32. 1. Introduction to Machine Learning/7.7 logistic_regression_Binary_Classification.ipynb2.74 KB
    33. 1. Introduction to Machine Learning/7.8 mall customers data.csv4.28 KB
    34. 1. Introduction to Machine Learning/7.9 mallCustomerData.txt3.89 KB
    35. 1. Introduction to Machine Learning/[CourseClub.Me].url122 B
    36. 1. Introduction to Machine Learning/[FreeAllCourse.Com].url55 B
    37. 1. Introduction to Machine Learning/[GigaCourse.Com].url49 B
    38. 2. Simple Linear Regression/1. Introduction to regression.mp48.97 MB
    39. 2. Simple Linear Regression/1. Introduction to regression.srt1.86 KB
    40. 2. Simple Linear Regression/2. How Does Linear Regression Work.mp47.68 MB
    41. 2. Simple Linear Regression/2. How Does Linear Regression Work.srt1.86 KB
    42. 2. Simple Linear Regression/3. Line representation.mp45.45 MB
    43. 2. Simple Linear Regression/3. Line representation.srt828 B
    44. 2. Simple Linear Regression/4. Implementation in python Importing libraries & datasets.mp47.55 MB
    45. 2. Simple Linear Regression/4. Implementation in python Importing libraries & datasets.srt1.44 KB
    46. 2. Simple Linear Regression/5. Implementation in python Distribution of the data.mp49.46 MB
    47. 2. Simple Linear Regression/5. Implementation in python Distribution of the data.srt2.18 KB
    48. 2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp413.22 MB
    49. 2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.srt2.83 KB
    50. 3. Multiple Linear Regression/0. Websites you may like/[CourseClub.Me].url122 B
    51. 3. Multiple Linear Regression/0. Websites you may like/[FreeAllCourse.Com].url55 B
    52. 3. Multiple Linear Regression/0. Websites you may like/[GigaCourse.Com].url49 B
    53. 3. Multiple Linear Regression/1. Understanding Multiple linear regression.mp46.32 MB
    54. 3. Multiple Linear Regression/1. Understanding Multiple linear regression.srt1.43 KB
    55. 3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp413.31 MB
    56. 3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.srt3.54 KB
    57. 3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp428.92 MB
    58. 3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.srt5.62 KB
    59. 3. Multiple Linear Regression/4. Implementation in python Splitting data into Train and Test Sets.mp48.83 MB
    60. 3. Multiple Linear Regression/4. Implementation in python Splitting data into Train and Test Sets.srt1.52 KB
    61. 3. Multiple Linear Regression/5. Implementation in python Training the model on the Training set.mp48.62 MB
    62. 3. Multiple Linear Regression/5. Implementation in python Training the model on the Training set.srt1020 B
    63. 3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp417.83 MB
    64. 3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.srt2.85 KB
    65. 3. Multiple Linear Regression/7. Evaluating the performance of the regression model.mp46.01 MB
    66. 3. Multiple Linear Regression/7. Evaluating the performance of the regression model.srt1.30 KB
    67. 3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp411.83 MB
    68. 3. Multiple Linear Regression/8. Root Mean Squared Error in Python.srt2.25 KB
    69. 3. Multiple Linear Regression/[CourseClub.Me].url122 B
    70. 3. Multiple Linear Regression/[FreeAllCourse.Com].url55 B
    71. 3. Multiple Linear Regression/[GigaCourse.Com].url49 B
    72. 4. Classification Algorithms K-Nearest Neighbors/1. Introduction to classification.mp44.67 MB
    73. 4. Classification Algorithms K-Nearest Neighbors/1. Introduction to classification.srt1.13 KB
    74. 4. Classification Algorithms K-Nearest Neighbors/10. Implementation in python Results prediction & Confusion matrix.mp49.67 MB
    75. 4. Classification Algorithms K-Nearest Neighbors/10. Implementation in python Results prediction & Confusion matrix.srt1.39 KB
    76. 4. Classification Algorithms K-Nearest Neighbors/2. K-Nearest Neighbors algorithm.mp46.05 MB
    77. 4. Classification Algorithms K-Nearest Neighbors/2. K-Nearest Neighbors algorithm.srt921 B
    78. 4. Classification Algorithms K-Nearest Neighbors/3. Example of KNN.mp43.48 MB
    79. 4. Classification Algorithms K-Nearest Neighbors/3. Example of KNN.srt380 B
    80. 4. Classification Algorithms K-Nearest Neighbors/4. K-Nearest Neighbours (KNN) using python.mp46.14 MB
    81. 4. Classification Algorithms K-Nearest Neighbors/4. K-Nearest Neighbours (KNN) using python.srt1.21 KB
    82. 4. Classification Algorithms K-Nearest Neighbors/5. Implementation in python Importing required libraries.mp45.11 MB
    83. 4. Classification Algorithms K-Nearest Neighbors/5. Implementation in python Importing required libraries.srt434 B
    84. 4. Classification Algorithms K-Nearest Neighbors/6. Implementation in python Importing the dataset.mp49.29 MB
    85. 4. Classification Algorithms K-Nearest Neighbors/6. Implementation in python Importing the dataset.srt1.26 KB
    86. 4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp419.69 MB
    87. 4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.srt2.85 KB
    88. 4. Classification Algorithms K-Nearest Neighbors/8. Implementation in python Feature Scaling.mp45.73 MB
    89. 4. Classification Algorithms K-Nearest Neighbors/8. Implementation in python Feature Scaling.srt348 B
    90. 4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp412.51 MB
    91. 4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.srt1.97 KB
    92. 5. Classification Algorithms Decision Tree/1. Introduction to decision trees.mp46.49 MB
    93. 5. Classification Algorithms Decision Tree/1. Introduction to decision trees.srt1.48 KB
    94. 5. Classification Algorithms Decision Tree/2. What is Entropy.mp45.23 MB
    95. 5. Classification Algorithms Decision Tree/2. What is Entropy.srt1.42 KB
    96. 5. Classification Algorithms Decision Tree/3. Exploring the dataset.mp45.96 MB
    97. 5. Classification Algorithms Decision Tree/3. Exploring the dataset.srt1.33 KB
    98. 5. Classification Algorithms Decision Tree/4. Decision tree structure.mp46.39 MB
    99. 5. Classification Algorithms Decision Tree/4. Decision tree structure.srt1.33 KB
    100. 5. Classification Algorithms Decision Tree/5. Implementation in python Importing libraries & datasets.mp44.65 MB
    101. 5. Classification Algorithms Decision Tree/5. Implementation in python Importing libraries & datasets.srt869 B
    102. 5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp416.98 MB
    103. 5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.srt3.41 KB
    104. 5. Classification Algorithms Decision Tree/7. Implementation in python Splitting data into Train and Test Sets.mp44.92 MB
    105. 5. Classification Algorithms Decision Tree/7. Implementation in python Splitting data into Train and Test Sets.srt879 B
    106. 5. Classification Algorithms Decision Tree/8. Implementation in python Results prediction & Accuracy.mp410.44 MB
    107. 5. Classification Algorithms Decision Tree/8. Implementation in python Results prediction & Accuracy.srt2.66 KB
    108. 6. Classification Algorithms Logistic regression/0. Websites you may like/[CourseClub.Me].url122 B
    109. 6. Classification Algorithms Logistic regression/0. Websites you may like/[FreeAllCourse.Com].url55 B
    110. 6. Classification Algorithms Logistic regression/0. Websites you may like/[GigaCourse.Com].url49 B
    111. 6. Classification Algorithms Logistic regression/1. Introduction.mp46.59 MB
    112. 6. Classification Algorithms Logistic regression/1. Introduction.srt1.42 KB
    113. 6. Classification Algorithms Logistic regression/2. Implementation steps.mp45.49 MB
    114. 6. Classification Algorithms Logistic regression/2. Implementation steps.srt954 B
    115. 6. Classification Algorithms Logistic regression/3. Implementation in python Importing libraries & datasets.mp46.82 MB
    116. 6. Classification Algorithms Logistic regression/3. Implementation in python Importing libraries & datasets.srt1.85 KB
    117. 6. Classification Algorithms Logistic regression/4. Implementation in python Splitting data into Train and Test Sets.mp47.18 MB
    118. 6. Classification Algorithms Logistic regression/4. Implementation in python Splitting data into Train and Test Sets.srt1.60 KB
    119. 6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp413.17 MB
    120. 6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.srt1.90 KB
    121. 6. Classification Algorithms Logistic regression/6. Implementation in python Training the model.mp47.83 MB
    122. 6. Classification Algorithms Logistic regression/6. Implementation in python Training the model.srt1.19 KB
    123. 6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp413.46 MB
    124. 6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.srt2.52 KB
    125. 6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp410.76 MB
    126. 6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.srt2.86 KB
    127. 6. Classification Algorithms Logistic regression/[CourseClub.Me].url122 B
    128. 6. Classification Algorithms Logistic regression/[FreeAllCourse.Com].url55 B
    129. 6. Classification Algorithms Logistic regression/[GigaCourse.Com].url49 B
    130. 7. Clustering/1. Introduction to clustering.mp44.26 MB
    131. 7. Clustering/1. Introduction to clustering.srt832 B
    132. 7. Clustering/10. Importing the dataset.mp412.78 MB
    133. 7. Clustering/10. Importing the dataset.srt3.27 KB
    134. 7. Clustering/11. Visualizing the dataset.mp412.43 MB
    135. 7. Clustering/11. Visualizing the dataset.srt2.88 KB
    136. 7. Clustering/12. Defining the classifier.mp47.66 MB
    137. 7. Clustering/12. Defining the classifier.srt1.62 KB
    138. 7. Clustering/13. 3D Visualization of the clusters.mp47.82 MB
    139. 7. Clustering/13. 3D Visualization of the clusters.srt1.59 KB
    140. 7. Clustering/14. 3D Visualization of the predicted values.mp412.84 MB
    141. 7. Clustering/14. 3D Visualization of the predicted values.srt2.77 KB
    142. 7. Clustering/15. Number of predicted clusters.mp49.49 MB
    143. 7. Clustering/15. Number of predicted clusters.srt2.09 KB
    144. 7. Clustering/2. Use cases.mp44.05 MB
    145. 7. Clustering/2. Use cases.srt1 KB
    146. 7. Clustering/3. K-Means Clustering Algorithm.mp46.62 MB
    147. 7. Clustering/3. K-Means Clustering Algorithm.srt1.53 KB
    148. 7. Clustering/4. Elbow method.mp47.02 MB
    149. 7. Clustering/4. Elbow method.srt1.74 KB
    150. 7. Clustering/5. Steps of the Elbow method.mp45.84 MB
    151. 7. Clustering/5. Steps of the Elbow method.srt1.10 KB
    152. 7. Clustering/6. Implementation in python.mp419.00 MB
    153. 7. Clustering/6. Implementation in python.srt3.66 KB
    154. 7. Clustering/7. Hierarchical clustering.mp47.42 MB
    155. 7. Clustering/7. Hierarchical clustering.srt1.26 KB
    156. 7. Clustering/8. Density-based clustering.mp47.79 MB
    157. 7. Clustering/8. Density-based clustering.srt1.73 KB
    158. 7. Clustering/9. Implementation of k-means clustering in python.mp43.93 MB
    159. 7. Clustering/9. Implementation of k-means clustering in python.srt836 B
    160. 8. Recommender System/1. Introduction.mp47.54 MB
    161. 8. Recommender System/1. Introduction.srt1.58 KB
    162. 8. Recommender System/10. Data pre-processing.mp410.76 MB
    163. 8. Recommender System/10. Data pre-processing.srt2.19 KB
    164. 8. Recommender System/11. Sorting the most-rated movies.mp48.88 MB
    165. 8. Recommender System/11. Sorting the most-rated movies.srt879 B
    166. 8. Recommender System/12. Grabbing the ratings for two movies.mp45.47 MB
    167. 8. Recommender System/12. Grabbing the ratings for two movies.srt1.47 KB
    168. 8. Recommender System/13. Correlation between the most-rated movies.mp413.29 MB
    169. 8. Recommender System/13. Correlation between the most-rated movies.srt2.05 KB
    170. 8. Recommender System/14. Sorting the data by correlation.mp46.14 MB
    171. 8. Recommender System/14. Sorting the data by correlation.srt1.46 KB
    172. 8. Recommender System/15. Filtering out movies.mp44.79 MB
    173. 8. Recommender System/15. Filtering out movies.srt726 B
    174. 8. Recommender System/16. Sorting values.mp46.84 MB
    175. 8. Recommender System/16. Sorting values.srt1.11 KB
    176. 8. Recommender System/17. Repeating the process for another movie.mp412.66 MB
    177. 8. Recommender System/17. Repeating the process for another movie.srt2.54 KB
    178. 8. Recommender System/18. Quiz Time.html188 B
    179. 8. Recommender System/2. Collaborative Filtering in Recommender Systems.mp44.16 MB
    180. 8. Recommender System/2. Collaborative Filtering in Recommender Systems.srt674 B
    181. 8. Recommender System/3. Content-based Recommender System.mp44.88 MB
    182. 8. Recommender System/3. Content-based Recommender System.srt765 B
    183. 8. Recommender System/4. Implementation in python Importing libraries & datasets.mp410.26 MB
    184. 8. Recommender System/4. Implementation in python Importing libraries & datasets.srt3.13 KB
    185. 8. Recommender System/5. Merging datasets into one dataframe.mp44.19 MB
    186. 8. Recommender System/5. Merging datasets into one dataframe.srt622 B
    187. 8. Recommender System/6. Sorting by title and rating.mp419.33 MB
    188. 8. Recommender System/6. Sorting by title and rating.srt5.68 KB
    189. 8. Recommender System/7. Histogram showing number of ratings.mp45.67 MB
    190. 8. Recommender System/7. Histogram showing number of ratings.srt779 B
    191. 8. Recommender System/8. Frequency distribution.mp46.05 MB
    192. 8. Recommender System/8. Frequency distribution.srt1.25 KB
    193. 8. Recommender System/9. Jointplot of the ratings and number of ratings.mp47.28 MB
    194. 8. Recommender System/9. Jointplot of the ratings and number of ratings.srt1.33 KB
    195. 9. Conclusion/0. Websites you may like/[CourseClub.Me].url122 B
    196. 9. Conclusion/0. Websites you may like/[FreeAllCourse.Com].url55 B
    197. 9. Conclusion/0. Websites you may like/[GigaCourse.Com].url49 B
    198. 9. Conclusion/1. Conclusion.mp42.80 MB
    199. 9. Conclusion/1. Conclusion.srt414 B
    200. 9. Conclusion/[CourseClub.Me].url122 B
    201. 9. Conclusion/[FreeAllCourse.Com].url55 B
    202. 9. Conclusion/[GigaCourse.Com].url49 B
    203. [CourseClub.Me].url122 B
    204. [FreeAllCourse.Com].url55 B
    205. [GigaCourse.Com].url49 B
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