Torrent details for "Udemy Azure Databricks Build data engineering and AI ML pipeline" Log in to bookmark
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Checked by:
Category:
Language:
English
Total Size:
1.6 GB
Info Hash:
D9287380FD2E83E9AAC17CF7E0989E4A2E5EC3D7
Added By:
Added:
Oct. 24, 2023, 12:10 p.m.
Stats:
|
(Last updated: May 15, 2025, 8:48 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 001 Introduction.mp4 | 6.8 MB |
| 001 Introduction_en.srt | 2.3 KB |
| 002 Prerequisite.mp4 | 18.5 MB |
| 002 Prerequisite_en.srt | 4.1 KB |
| 003 Importing Notebooks into Databricks workspace.mp4 | 5.2 MB |
| 003 Importing Notebooks into Databricks workspace_en.srt | 753 bytes |
| 38033216-Introduction.pptx | 36.7 KB |
| 001 Introduction.mp4 | 23.4 MB |
| 001 Introduction_en.srt | 5.8 KB |
| 002 Density based outlier detection.mp4 | 26.7 MB |
| 002 Density based outlier detection_en.srt | 4.8 KB |
| 003 Support vector machine.mp4 | 9.6 MB |
| 003 Support vector machine_en.srt | 1.8 KB |
| 004 Isolation Forest.mp4 | 16.3 MB |
| 004 Isolation Forest_en.srt | 3.3 KB |
| 38033346-Anomaly-detection.pptx | 558.9 KB |
| 001 Clustering based approach.mp4 | 53.5 MB |
| 001 Clustering based approach_en.srt | 6.6 KB |
| 002 Angle based approach.mp4 | 26.4 MB |
| 002 Angle based approach_en.srt | 3.5 KB |
| 003 Feature bagging.mp4 | 20.0 MB |
| 003 Feature bagging_en.srt | 3.0 KB |
| 004 KNN.mp4 | 7.2 MB |
| 004 KNN_en.srt | 2.4 KB |
| 005 Local outlier factor.mp4 | 27.9 MB |
| 005 Local outlier factor_en.srt | 3.9 KB |
| 006 PCA based approach.mp4 | 30.2 MB |
| 006 PCA based approach_en.srt | 4.2 KB |
| 38033564-Clustering-based-outlier-detection.ipynb | 169.2 KB |
| 38033580-Angle-based-outlier-detection.ipynb | 255.3 KB |
| 38033582-Sample-Superstore.xls | 3.2 MB |
| 38033584-train.csv | 849.2 KB |
| 38033610-Feature-bagging.ipynb | 209.3 KB |
| 38033624-k-Nearest-Neighbors-based-anomaly-detection.ipynb | 55.1 KB |
| 38033640-Anomaly-detection-using-LOF.ipynb | 44.5 KB |
| 38033658-Anomaly-detection-using-Principle-component-analysis.ipynb | 61.1 KB |
| 001 Data lake.mp4 | 18.2 MB |
| 001 Data lake_en.srt | 3.3 KB |
| 002 Delta Lake.mp4 | 10.3 MB |
| 002 Delta Lake_en.srt | 2.6 KB |
| 003 Elements of delta lake.mp4 | 22.4 MB |
| 003 Elements of delta lake_en.srt | 4.3 KB |
| 004 Delta lake - LAB.mp4 | 116.3 MB |
| 004 Delta lake - LAB_en.srt | 16.3 KB |
| 38033754-Lakehouse.pptx | 269.5 KB |
| 38033818-Delta-lake-ingest-LAB.dbc | 55.1 KB |
| 38033828-Iot-sensor-data.csv | 22.6 MB |
| 001 Architecture design overview.mp4 | 6.3 MB |
| 001 Architecture design overview_en.srt | 2.0 KB |
| 002 Upload files to DBFS.mp4 | 6.5 MB |
| 002 Upload files to DBFS_en.srt | 637 bytes |
| 003 Streaming concepts.mp4 | 108.2 MB |
| 003 Streaming concepts_en.srt | 15.7 KB |
| 004 Autoloader concepts.mp4 | 24.6 MB |
| 004 Autoloader concepts_en.srt | 5.3 KB |
| 005 Mounting DBFS File location.mp4 | 9.2 MB |
| 005 Mounting DBFS File location_en.srt | 1.6 KB |
| 006 Data walkthrough.mp4 | 4.5 MB |
| 006 Data walkthrough_en.srt | 1001 bytes |
| 007 Autoloader LAB.mp4 | 56.4 MB |
| 007 Autoloader LAB_en.srt | 7.7 KB |
| data2999.csv | 3.8 KB |
| data3000.csv | 13.0 KB |
| data3009.csv | 7.6 KB |
| data3010.csv | 10.2 KB |
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| 38033872-Architecture.pptx | 146.8 KB |
| 38033908-Streaming-Concepts.dbc | 31.0 KB |
| 38033918-AUTOLOADER.pptx | 272.6 KB |
| 38035402-Blob-storage-structure.png | 94.3 KB |
| 38035414-Blob-Storage-Bronze-table-view.png | 82.1 KB |
| 38035494-Autoloader.dbc | 9.5 KB |
| 1.json | 103.8 KB |
| 10.json | 103.9 KB |
| 11.json | 103.4 KB |
| 12.json | 103.7 KB |
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| 7.json | 103.8 KB |
| 8.json | 103.7 KB |
| 9.json | 103.9 KB |
| 001 Anomaly detection using Isolation forest.mp4 | 58.1 MB |
| 001 Anomaly detection using Isolation forest_en.srt | 8.6 KB |
| 002 Model interpretation introduction.mp4 | 8.9 MB |
| 002 Model interpretation introduction_en.srt | 2.3 KB |
| 003 Model interpretation using Shapley value.mp4 | 41.4 MB |
| 003 Model interpretation using Shapley value_en.srt | 5.4 KB |
| 004 Model interpretation using Shapley values-2.mp4 | 20.4 MB |
| 004 Model interpretation using Shapley values-2_en.srt | 4.5 KB |
| 38035610-Anomaly-detection-on-transactional-data.ipynb | 24.2 KB |
| 38035622-processed.csv | 13.9 MB |
| 38035750-Model-interpretation.ipynb | 2.9 MB |
| 38035798-Udemy-course-ppt-model-interpreattion.pptx | 494.2 KB |
| 001 Structured streaming with Kafka- Theory.mp4 | 41.3 MB |
| 001 Structured streaming with Kafka- Theory_en.srt | 9.6 KB |
| 002 Demo - Anonymous Wikipedia edits.mp4 | 177.0 MB |
| 002 Demo - Anonymous Wikipedia edits_en.srt | 20.3 KB |
| 003 Demo - Log analysis using Kafka.mp4 | 28.7 MB |
| 003 Demo - Log analysis using Kafka_en.srt | 9.8 KB |
| 004 Demo - Twitter analysis using Kafka.mp4 | 117.2 MB |
| 004 Demo - Twitter analysis using Kafka_en.srt | 10.8 KB |
| 005 Spark structured streaming using Azure EventHub - TBA.html | 10 bytes |
| 38035838-Structured-streaming-using-kafka.pptx | 973.0 KB |
| 38035896-Wiki-anonymous-edit-using-Kafka.dbc | 135.9 KB |
| 38035918-Log-analysis-using-kafka.dbc | 45.5 KB |
| 38035956-ISOCountryLookup.csv | 10.1 KB |
| 38035966-Spark-structured-streaming-with-Kafka-Tweet-analysis.dbc | 270.9 KB |
| 001 Introduction.mp4 | 17.3 MB |
| 001 Introduction_en.srt | 2.7 KB |
| 002 MlFlow tracking demo.mp4 | 55.4 MB |
| 002 MlFlow tracking demo_en.srt | 6.1 KB |
| 003 Model registry.mp4 | 77.0 MB |
| 003 Model registry_en.srt | 9.2 KB |
| 004 Model registry demo.mp4 | 69.5 MB |
| 004 Model registry demo_en.srt | 8.2 KB |
| 005 Inference using MLFLOW.mp4 | 107.7 MB |
| 005 Inference using MLFLOW_en.srt | 12.2 KB |
| 006 Parallelly Training ML Models with pandas UDF.mp4 | 30.1 MB |
| 006 Parallelly Training ML Models with pandas UDF_en.srt | 3.7 KB |
| 007 How ApplyInPandas() function works.mp4 | 11.1 MB |
| 007 How ApplyInPandas() function works_en.srt | 1.8 KB |
| 008 Productionizing the ML model parallelly.mp4 | 45.5 MB |
| 008 Productionizing the ML model parallelly_en.srt | 5.3 KB |
| 38045376-Training-model-with-mlflow.dbc | 32.8 KB |
| 38045580-Inferencing-model-with-mlflow.dbc | 74.8 KB |
| 38045750-ML-12-Training-with-Pandas-UDFs.dbc | 74.7 KB |
| 38045772-applyinpandas.pptx | 45.1 KB |
| 001 TBA.html | 10 bytes |
| 001 TBA.html | 10 bytes |
| 001 TBA.html | 10 bytes |
| 001 TBA.html | 10 bytes |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
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Added
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138.9 MB
[4
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2024-05-23
| Uploaded by FreeCourseWeb | Size 138.9 MB | Health [ 4 /5 ] | Added 2024-05-23 |
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346.9 MB
[5
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2023-10-25
| Uploaded by freecoursewb | Size 346.9 MB | Health [ 5 /0 ] | Added 2023-10-25 |
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265.7 MB
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2023-10-25
| Uploaded by freecoursewb | Size 265.7 MB | Health [ 0 /2 ] | Added 2023-10-25 |
NOTE
SOURCE: Udemy Azure Databricks Build data engineering and AI ML pipeline
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COVER
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