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Udemy Azure Databricks Build data engineering and AI ML pipeline

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Udemy Azure Databricks Build data engineering and AI ML pipeline
Language: English
Category: Other
Size: 1.6 GB
Added: Oct. 24, 2023, 12:10 p.m.
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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 001 Introduction.mp4 6.8 MB
  3. 001 Introduction_en.srt 2.3 KB
  4. 002 Prerequisite.mp4 18.5 MB
  5. 002 Prerequisite_en.srt 4.1 KB
  6. 003 Importing Notebooks into Databricks workspace.mp4 5.2 MB
  7. 003 Importing Notebooks into Databricks workspace_en.srt 753 bytes
  8. 38033216-Introduction.pptx 36.7 KB
  9. 001 Introduction.mp4 23.4 MB
  10. 001 Introduction_en.srt 5.8 KB
  11. 002 Density based outlier detection.mp4 26.7 MB
  12. 002 Density based outlier detection_en.srt 4.8 KB
  13. 003 Support vector machine.mp4 9.6 MB
  14. 003 Support vector machine_en.srt 1.8 KB
  15. 004 Isolation Forest.mp4 16.3 MB
  16. 004 Isolation Forest_en.srt 3.3 KB
  17. 38033346-Anomaly-detection.pptx 558.9 KB
  18. 001 Clustering based approach.mp4 53.5 MB
  19. 001 Clustering based approach_en.srt 6.6 KB
  20. 002 Angle based approach.mp4 26.4 MB
  21. 002 Angle based approach_en.srt 3.5 KB
  22. 003 Feature bagging.mp4 20.0 MB
  23. 003 Feature bagging_en.srt 3.0 KB
  24. 004 KNN.mp4 7.2 MB
  25. 004 KNN_en.srt 2.4 KB
  26. 005 Local outlier factor.mp4 27.9 MB
  27. 005 Local outlier factor_en.srt 3.9 KB
  28. 006 PCA based approach.mp4 30.2 MB
  29. 006 PCA based approach_en.srt 4.2 KB
  30. 38033564-Clustering-based-outlier-detection.ipynb 169.2 KB
  31. 38033580-Angle-based-outlier-detection.ipynb 255.3 KB
  32. 38033582-Sample-Superstore.xls 3.2 MB
  33. 38033584-train.csv 849.2 KB
  34. 38033610-Feature-bagging.ipynb 209.3 KB
  35. 38033624-k-Nearest-Neighbors-based-anomaly-detection.ipynb 55.1 KB
  36. 38033640-Anomaly-detection-using-LOF.ipynb 44.5 KB
  37. 38033658-Anomaly-detection-using-Principle-component-analysis.ipynb 61.1 KB
  38. 001 Data lake.mp4 18.2 MB
  39. 001 Data lake_en.srt 3.3 KB
  40. 002 Delta Lake.mp4 10.3 MB
  41. 002 Delta Lake_en.srt 2.6 KB
  42. 003 Elements of delta lake.mp4 22.4 MB
  43. 003 Elements of delta lake_en.srt 4.3 KB
  44. 004 Delta lake - LAB.mp4 116.3 MB
  45. 004 Delta lake - LAB_en.srt 16.3 KB
  46. 38033754-Lakehouse.pptx 269.5 KB
  47. 38033818-Delta-lake-ingest-LAB.dbc 55.1 KB
  48. 38033828-Iot-sensor-data.csv 22.6 MB
  49. 001 Architecture design overview.mp4 6.3 MB
  50. 001 Architecture design overview_en.srt 2.0 KB
  51. 002 Upload files to DBFS.mp4 6.5 MB
  52. 002 Upload files to DBFS_en.srt 637 bytes
  53. 003 Streaming concepts.mp4 108.2 MB
  54. 003 Streaming concepts_en.srt 15.7 KB
  55. 004 Autoloader concepts.mp4 24.6 MB
  56. 004 Autoloader concepts_en.srt 5.3 KB
  57. 005 Mounting DBFS File location.mp4 9.2 MB
  58. 005 Mounting DBFS File location_en.srt 1.6 KB
  59. 006 Data walkthrough.mp4 4.5 MB
  60. 006 Data walkthrough_en.srt 1001 bytes
  61. 007 Autoloader LAB.mp4 56.4 MB
  62. 007 Autoloader LAB_en.srt 7.7 KB
  63. data2999.csv 3.8 KB
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  3060. data5540.csv 17.6 KB
  3061. 38033872-Architecture.pptx 146.8 KB
  3062. 38033908-Streaming-Concepts.dbc 31.0 KB
  3063. 38033918-AUTOLOADER.pptx 272.6 KB
  3064. 38035402-Blob-storage-structure.png 94.3 KB
  3065. 38035414-Blob-Storage-Bronze-table-view.png 82.1 KB
  3066. 38035494-Autoloader.dbc 9.5 KB
  3067. 1.json 103.8 KB
  3068. 10.json 103.9 KB
  3069. 11.json 103.4 KB
  3070. 12.json 103.7 KB
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  3087. 001 Anomaly detection using Isolation forest.mp4 58.1 MB
  3088. 001 Anomaly detection using Isolation forest_en.srt 8.6 KB
  3089. 002 Model interpretation introduction.mp4 8.9 MB
  3090. 002 Model interpretation introduction_en.srt 2.3 KB
  3091. 003 Model interpretation using Shapley value.mp4 41.4 MB
  3092. 003 Model interpretation using Shapley value_en.srt 5.4 KB
  3093. 004 Model interpretation using Shapley values-2.mp4 20.4 MB
  3094. 004 Model interpretation using Shapley values-2_en.srt 4.5 KB
  3095. 38035610-Anomaly-detection-on-transactional-data.ipynb 24.2 KB
  3096. 38035622-processed.csv 13.9 MB
  3097. 38035750-Model-interpretation.ipynb 2.9 MB
  3098. 38035798-Udemy-course-ppt-model-interpreattion.pptx 494.2 KB
  3099. 001 Structured streaming with Kafka- Theory.mp4 41.3 MB
  3100. 001 Structured streaming with Kafka- Theory_en.srt 9.6 KB
  3101. 002 Demo - Anonymous Wikipedia edits.mp4 177.0 MB
  3102. 002 Demo - Anonymous Wikipedia edits_en.srt 20.3 KB
  3103. 003 Demo - Log analysis using Kafka.mp4 28.7 MB
  3104. 003 Demo - Log analysis using Kafka_en.srt 9.8 KB
  3105. 004 Demo - Twitter analysis using Kafka.mp4 117.2 MB
  3106. 004 Demo - Twitter analysis using Kafka_en.srt 10.8 KB
  3107. 005 Spark structured streaming using Azure EventHub - TBA.html 10 bytes
  3108. 38035838-Structured-streaming-using-kafka.pptx 973.0 KB
  3109. 38035896-Wiki-anonymous-edit-using-Kafka.dbc 135.9 KB
  3110. 38035918-Log-analysis-using-kafka.dbc 45.5 KB
  3111. 38035956-ISOCountryLookup.csv 10.1 KB
  3112. 38035966-Spark-structured-streaming-with-Kafka-Tweet-analysis.dbc 270.9 KB
  3113. 001 Introduction.mp4 17.3 MB
  3114. 001 Introduction_en.srt 2.7 KB
  3115. 002 MlFlow tracking demo.mp4 55.4 MB
  3116. 002 MlFlow tracking demo_en.srt 6.1 KB
  3117. 003 Model registry.mp4 77.0 MB
  3118. 003 Model registry_en.srt 9.2 KB
  3119. 004 Model registry demo.mp4 69.5 MB
  3120. 004 Model registry demo_en.srt 8.2 KB
  3121. 005 Inference using MLFLOW.mp4 107.7 MB
  3122. 005 Inference using MLFLOW_en.srt 12.2 KB
  3123. 006 Parallelly Training ML Models with pandas UDF.mp4 30.1 MB
  3124. 006 Parallelly Training ML Models with pandas UDF_en.srt 3.7 KB
  3125. 007 How ApplyInPandas() function works.mp4 11.1 MB
  3126. 007 How ApplyInPandas() function works_en.srt 1.8 KB
  3127. 008 Productionizing the ML model parallelly.mp4 45.5 MB
  3128. 008 Productionizing the ML model parallelly_en.srt 5.3 KB
  3129. 38045376-Training-model-with-mlflow.dbc 32.8 KB
  3130. 38045580-Inferencing-model-with-mlflow.dbc 74.8 KB
  3131. 38045750-ML-12-Training-with-Pandas-UDFs.dbc 74.7 KB
  3132. 38045772-applyinpandas.pptx 45.1 KB
  3133. 001 TBA.html 10 bytes
  3134. 001 TBA.html 10 bytes
  3135. 001 TBA.html 10 bytes
  3136. 001 TBA.html 10 bytes
  3137. Bonus Resources.txt 386 bytes

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