[FreeCourseLab.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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Files
  1. 1. Getting Started/1. Introduction.mp4 59.60MB
  2. 1. Getting Started/1. Introduction.vtt 4.24KB
  3. 1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp4 19.78MB
  4. 1. Getting Started/2. Udemy 101 Getting the Most From This Course.vtt 3.56KB
  5. 1. Getting Started/3. [Activity] Getting What You Need.mp4 28.06MB
  6. 1. Getting Started/3. [Activity] Getting What You Need.vtt 4.22KB
  7. 1. Getting Started/3.1 Course Facebook Group.html 109B
  8. 1. Getting Started/3.2 Course materials and setup steps.html 100B
  9. 1. Getting Started/4. [Activity] Installing Enthought Canopy.mp4 109.01MB
  10. 1. Getting Started/4. [Activity] Installing Enthought Canopy.vtt 12.43KB
  11. 1. Getting Started/4.1 Enthought Canopy website.html 86B
  12. 1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 133.83MB
  13. 1. Getting Started/5. Python Basics, Part 1 [Optional].vtt 32.14KB
  14. 1. Getting Started/6. [Activity] Python Basics, Part 2 [Optional].mp4 77.20MB
  15. 1. Getting Started/6. [Activity] Python Basics, Part 2 [Optional].vtt 18.92KB
  16. 1. Getting Started/7. Running Python Scripts [Optional].mp4 44.70MB
  17. 1. Getting Started/7. Running Python Scripts [Optional].vtt 8.16KB
  18. 1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 127.88MB
  19. 1. Getting Started/8. Introducing the Pandas Library [Optional].vtt 15.74KB
  20. 10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp4 67.87MB
  21. 10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.vtt 17.14KB
  22. 10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).mp4 93.09MB
  23. 10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).vtt 17.55KB
  24. 10. Deep Learning and Neural Networks/11. [Activity] Using CNN's for handwriting recognition.mp4 80.80MB
  25. 10. Deep Learning and Neural Networks/11. [Activity] Using CNN's for handwriting recognition.vtt 16.30KB
  26. 10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).mp4 69.17MB
  27. 10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).vtt 16.33KB
  28. 10. Deep Learning and Neural Networks/13. [Activity] Using a RNN for sentiment analysis.mp4 94.77MB
  29. 10. Deep Learning and Neural Networks/13. [Activity] Using a RNN for sentiment analysis.vtt 20.70KB
  30. 10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 128.25MB
  31. 10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.vtt 17.46KB
  32. 10. Deep Learning and Neural Networks/15. Learning More about Deep Learning.mp4 38.65MB
  33. 10. Deep Learning and Neural Networks/15. Learning More about Deep Learning.vtt 2.75KB
  34. 10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp4 79.99MB
  35. 10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.vtt 16.76KB
  36. 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 141.58MB
  37. 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.vtt 17.07KB
  38. 10. Deep Learning and Neural Networks/4. Deep Learning Details.mp4 64.22MB
  39. 10. Deep Learning and Neural Networks/4. Deep Learning Details.vtt 14.85KB
  40. 10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp4 96.39MB
  41. 10. Deep Learning and Neural Networks/5. Introducing Tensorflow.vtt 19.71KB
  42. 10. Deep Learning and Neural Networks/6. [Activity] Using Tensorflow, Part 1.mp4 102.32MB
  43. 10. Deep Learning and Neural Networks/6. [Activity] Using Tensorflow, Part 1.vtt 19.32KB
  44. 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 133.62MB
  45. 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.vtt 19.43KB
  46. 10. Deep Learning and Neural Networks/8. [Activity] Introducing Keras.mp4 107.45MB
  47. 10. Deep Learning and Neural Networks/8. [Activity] Introducing Keras.vtt 28.58KB
  48. 10. Deep Learning and Neural Networks/9. [Activity] Using Keras to Predict Political Affiliations.mp4 104.32MB
  49. 10. Deep Learning and Neural Networks/9. [Activity] Using Keras to Predict Political Affiliations.vtt 26.11KB
  50. 11. Final Project/1. Your final project assignment.mp4 58.90MB
  51. 11. Final Project/1. Your final project assignment.vtt 10.13KB
  52. 11. Final Project/2. Final project review.mp4 98.50MB
  53. 11. Final Project/2. Final project review.vtt 22.16KB
  54. 12. You made it!/1. More to Explore.mp4 64.07MB
  55. 12. You made it!/1. More to Explore.vtt 6.62KB
  56. 12. You made it!/2. Don't Forget to Leave a Rating!.html 564B
  57. 12. You made it!/3. Bonus Lecture Discounts to continue your journey!.html 7.41KB
  58. 2. Statistics and Probability Refresher, and Python Practise/1. Types of Data.mp4 77.25MB
  59. 2. Statistics and Probability Refresher, and Python Practise/1. Types of Data.vtt 14.69KB
  60. 2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 130.37MB
  61. 2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.vtt 23.28KB
  62. 2. Statistics and Probability Refresher, and Python Practise/11. Exercise Solution Conditional Probability of Purchase by Age.mp4 28.74MB
  63. 2. Statistics and Probability Refresher, and Python Practise/11. Exercise Solution Conditional Probability of Purchase by Age.vtt 4.47KB
  64. 2. Statistics and Probability Refresher, and Python Practise/12. Bayes' Theorem.mp4 58.90MB
  65. 2. Statistics and Probability Refresher, and Python Practise/12. Bayes' Theorem.vtt 10.44KB
  66. 2. Statistics and Probability Refresher, and Python Practise/2. Mean, Median, Mode.mp4 56.15MB
  67. 2. Statistics and Probability Refresher, and Python Practise/2. Mean, Median, Mode.vtt 11.75KB
  68. 2. Statistics and Probability Refresher, and Python Practise/3. [Activity] Using mean, median, and mode in Python.mp4 92.74MB
  69. 2. Statistics and Probability Refresher, and Python Practise/3. [Activity] Using mean, median, and mode in Python.vtt 16.53KB
  70. 2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 110.86MB
  71. 2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.vtt 23.29KB
  72. 2. Statistics and Probability Refresher, and Python Practise/5. Probability Density Function; Probability Mass Function.mp4 30.07MB
  73. 2. Statistics and Probability Refresher, and Python Practise/5. Probability Density Function; Probability Mass Function.vtt 6.93KB
  74. 2. Statistics and Probability Refresher, and Python Practise/6. Common Data Distributions.mp4 75.37MB
  75. 2. Statistics and Probability Refresher, and Python Practise/6. Common Data Distributions.vtt 14.57KB
  76. 2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 114.05MB
  77. 2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.vtt 25.49KB
  78. 2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 129.36MB
  79. 2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.vtt 25.83KB
  80. 2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 116.75MB
  81. 2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.vtt 23.43KB
  82. 3. Predictive Models/1. [Activity] Linear Regression.mp4 100.47MB
  83. 3. Predictive Models/1. [Activity] Linear Regression.vtt 23.14KB
  84. 3. Predictive Models/2. [Activity] Polynomial Regression.mp4 66.77MB
  85. 3. Predictive Models/2. [Activity] Polynomial Regression.vtt 15.92KB
  86. 3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 123.78MB
  87. 3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.vtt 22.65KB
  88. 3. Predictive Models/4. Multi-Level Models.mp4 47.47MB
  89. 3. Predictive Models/4. Multi-Level Models.vtt 9.70KB
  90. 4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 98.62MB
  91. 4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.vtt 18.93KB
  92. 4. Machine Learning with Python/10. [Activity] Decision Trees Predicting Hiring Decisions.mp4 95.95MB
  93. 4. Machine Learning with Python/10. [Activity] Decision Trees Predicting Hiring Decisions.vtt 20.26KB
  94. 4. Machine Learning with Python/11. Ensemble Learning.mp4 65.22MB
  95. 4. Machine Learning with Python/11. Ensemble Learning.vtt 13.15KB
  96. 4. Machine Learning with Python/12. Support Vector Machines (SVM) Overview.mp4 44.74MB
  97. 4. Machine Learning with Python/12. Support Vector Machines (SVM) Overview.vtt 9.00KB
  98. 4. Machine Learning with Python/13. [Activity] Using SVM to cluster people using scikit-learn.mp4 54.98MB
  99. 4. Machine Learning with Python/13. [Activity] Using SVM to cluster people using scikit-learn.vtt 10.81KB
  100. 4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 58.14MB
  101. 4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.vtt 11.89KB
  102. 4. Machine Learning with Python/3. Bayesian Methods Concepts.mp4 40.72MB
  103. 4. Machine Learning with Python/3. Bayesian Methods Concepts.vtt 8.04KB
  104. 4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp4 89.09MB
  105. 4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.vtt 15.79KB
  106. 4. Machine Learning with Python/5. K-Means Clustering.mp4 71.95MB
  107. 4. Machine Learning with Python/5. K-Means Clustering.vtt 15.55KB
  108. 4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp4 57.30MB
  109. 4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.vtt 10.49KB
  110. 4. Machine Learning with Python/7. Measuring Entropy.mp4 34.98MB
  111. 4. Machine Learning with Python/7. Measuring Entropy.vtt 6.31KB
  112. 4. Machine Learning with Python/8. [Activity] Install GraphViz.html 1.50KB
  113. 4. Machine Learning with Python/9. Decision Trees Concepts.mp4 86.53MB
  114. 4. Machine Learning with Python/9. Decision Trees Concepts.vtt 19.05KB
  115. 5. Recommender Systems/1. User-Based Collaborative Filtering.mp4 86.37MB
  116. 5. Recommender Systems/1. User-Based Collaborative Filtering.vtt 17.53KB
  117. 5. Recommender Systems/2. Item-Based Collaborative Filtering.mp4 75.01MB
  118. 5. Recommender Systems/2. Item-Based Collaborative Filtering.vtt 18.07KB
  119. 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 107.83MB
  120. 5. Recommender Systems/3. [Activity] Finding Movie Similarities.vtt 18.17KB
  121. 5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4 94.87MB
  122. 5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.vtt 15.20KB
  123. 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 132.55MB
  124. 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.vtt 20.46KB
  125. 5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp4 84.24MB
  126. 5. Recommender Systems/6. [Exercise] Improve the recommender's results.vtt 11.97KB
  127. 6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp4 40.28MB
  128. 6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.vtt 8.12KB
  129. 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 142.07MB
  130. 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.vtt 25.63KB
  131. 6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp4 67.75MB
  132. 6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.vtt 11.18KB
  133. 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 109.73MB
  134. 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.vtt 19.07KB
  135. 6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 103.34MB
  136. 6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.vtt 17.83KB
  137. 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 132.27MB
  138. 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.vtt 25.68KB
  139. 6. More Data Mining and Machine Learning Techniques/6.1 Cat and Mouse Example.html 140B
  140. 6. More Data Mining and Machine Learning Techniques/6.2 Pac-Man Example.html 145B
  141. 6. More Data Mining and Machine Learning Techniques/6.3 Python Markov Decision Process Toolbox.html 119B
  142. 7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp4 66.31MB
  143. 7. Dealing with Real-World Data/1. BiasVariance Tradeoff.vtt 13.04KB
  144. 7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4 102.34MB
  145. 7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.vtt 22.14KB
  146. 7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp4 78.75MB
  147. 7. Dealing with Real-World Data/3. Data Cleaning and Normalization.vtt 15.48KB
  148. 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 129.39MB
  149. 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.vtt 21.50KB
  150. 7. Dealing with Real-World Data/5. Normalizing numerical data.mp4 38.21MB
  151. 7. Dealing with Real-World Data/5. Normalizing numerical data.vtt 7.00KB
  152. 7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp4 83.60MB
  153. 7. Dealing with Real-World Data/6. [Activity] Detecting outliers.vtt 13.99KB
  154. 8. Apache Spark Machine Learning on Big Data/1. Warning about Java 11 and Spark 2.4!.html 615B
  155. 8. Apache Spark Machine Learning on Big Data/10. TF IDF.mp4 68.85MB
  156. 8. Apache Spark Machine Learning on Big Data/10. TF IDF.vtt 12.71KB
  157. 8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.mp4 111.51MB
  158. 8. Apache Spark Machine Learning on Big Data/11. [Activity] Searching Wikipedia with Spark.vtt 13.99KB
  159. 8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 113.82MB
  160. 8. Apache Spark Machine Learning on Big Data/12. [Activity] Using the Spark 2.0 DataFrame API for MLLib.vtt 15.78KB
  161. 8. Apache Spark Machine Learning on Big Data/2. Spark installation notes for MacOS and Linux users.html 3.48KB
  162. 8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.mp4 87.37MB
  163. 8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 1.vtt 15.07KB
  164. 8. Apache Spark Machine Learning on Big Data/3.1 winutils.exe.html 108B
  165. 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 172.29MB
  166. 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.vtt 25.59KB
  167. 8. Apache Spark Machine Learning on Big Data/4.1 winutils.exe.html 108B
  168. 8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.mp4 89.87MB
  169. 8. Apache Spark Machine Learning on Big Data/5. Spark Introduction.vtt 19.18KB
  170. 8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).mp4 98.52MB
  171. 8. Apache Spark Machine Learning on Big Data/6. Spark and the Resilient Distributed Dataset (RDD).vtt 22.17KB
  172. 8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.mp4 54.75MB
  173. 8. Apache Spark Machine Learning on Big Data/7. Introducing MLLib.vtt 10.43KB
  174. 8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.mp4 193.25MB
  175. 8. Apache Spark Machine Learning on Big Data/8. [Activity] Decision Trees in Spark.vtt 29.42KB
  176. 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 133.83MB
  177. 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.vtt 20.24KB
  178. 9. Experimental Design/1. AB Testing Concepts.mp4 97.48MB
  179. 9. Experimental Design/1. AB Testing Concepts.vtt 18.25KB
  180. 9. Experimental Design/2. T-Tests and P-Values.mp4 64.91MB
  181. 9. Experimental Design/2. T-Tests and P-Values.vtt 11.98KB
  182. 9. Experimental Design/3. [Activity] Hands-on With T-Tests.mp4 81.62MB
  183. 9. Experimental Design/3. [Activity] Hands-on With T-Tests.vtt 12.40KB
  184. 9. Experimental Design/4. Determining How Long to Run an Experiment.mp4 34.85MB
  185. 9. Experimental Design/4. Determining How Long to Run an Experiment.vtt 7.61KB
  186. 9. Experimental Design/5. AB Test Gotchas.mp4 96.10MB
  187. 9. Experimental Design/5. AB Test Gotchas.vtt 19.82KB
  188. [FreeCourseLab.com].url 126B