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Torrent Details
[ DevCourseWeb.com ] Udemy - Azure Databricks - Build data engineering and AI - ML pipeline
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1.61 GB
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Uploaded:
Dec 24, 2021
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[ DevCourseWeb.com ] Udemy - Azure Databricks - Build data engineering and AI - ML pipeline
Get Bonus Downloads Here.url
- 182 B
~Get Your Files Here !
01 - Introduction
001 Introduction.mp4
- 6.8 MB
001 Introduction_en.srt
- 2.25 KB
002 Prerequisite.mp4
- 18.54 MB
002 Prerequisite_en.srt
- 4.15 KB
003 Importing Notebooks into Databricks workspace.mp4
- 5.16 MB
003 Importing Notebooks into Databricks workspace_en.srt
- 753 B
38033216-Introduction.pptx
- 36.68 KB
02 - Introduction to anomaly detection
001 Introduction.mp4
- 23.44 MB
001 Introduction_en.srt
- 5.84 KB
002 Density based outlier detection.mp4
- 26.72 MB
002 Density based outlier detection_en.srt
- 4.78 KB
003 Support vector machine.mp4
- 9.62 MB
003 Support vector machine_en.srt
- 1.77 KB
004 Isolation Forest.mp4
- 16.32 MB
004 Isolation Forest_en.srt
- 3.28 KB
38033346-Anomaly-detection.pptx
- 558.93 KB
03 - Anomaly detection-LAB
001 Clustering based approach.mp4
- 53.47 MB
001 Clustering based approach_en.srt
- 6.55 KB
002 Angle based approach.mp4
- 26.42 MB
002 Angle based approach_en.srt
- 3.48 KB
003 Feature bagging.mp4
- 19.97 MB
003 Feature bagging_en.srt
- 2.99 KB
004 KNN.mp4
- 7.19 MB
004 KNN_en.srt
- 2.44 KB
005 Local outlier factor.mp4
- 27.9 MB
005 Local outlier factor_en.srt
- 3.92 KB
006 PCA based approach.mp4
- 30.18 MB
006 PCA based approach_en.srt
- 4.21 KB
38033564-Clustering-based-outlier-detection.ipynb
- 169.23 KB
38033580-Angle-based-outlier-detection.ipynb
- 255.3 KB
38033582-Sample-Superstore.xls
- 3.21 MB
38033584-train.csv
- 849.16 KB
38033610-Feature-bagging.ipynb
- 209.26 KB
38033624-k-Nearest-Neighbors-based-anomaly-detection.ipynb
- 55.07 KB
38033640-Anomaly-detection-using-LOF.ipynb
- 44.55 KB
38033658-Anomaly-detection-using-Principle-component-analysis.ipynb
- 61.09 KB
04 - Data Lake house architecture
001 Data lake.mp4
- 18.21 MB
001 Data lake_en.srt
- 3.28 KB
002 Delta Lake.mp4
- 10.31 MB
002 Delta Lake_en.srt
- 2.57 KB
003 Elements of delta lake.mp4
- 22.45 MB
003 Elements of delta lake_en.srt
- 4.32 KB
004 Delta lake - LAB.mp4
- 116.34 MB
004 Delta lake - LAB_en.srt
- 16.3 KB
38033754-Lakehouse.pptx
- 269.47 KB
38033818-Delta-lake-ingest-LAB.dbc
- 55.07 KB
38033828-Iot-sensor-data.csv
- 22.6 MB
05 - Build Data pipeline using Azure tech stack
001 Architecture design overview.mp4
- 6.32 MB
001 Architecture design overview_en.srt
- 2.05 KB
002 Upload files to DBFS.mp4
- 6.53 MB
002 Upload files to DBFS_en.srt
- 637 B
003 Streaming concepts.mp4
- 108.18 MB
003 Streaming concepts_en.srt
- 15.72 KB
004 Autoloader concepts.mp4
- 24.61 MB
004 Autoloader concepts_en.srt
- 5.31 KB
005 Mounting DBFS File location.mp4
- 9.16 MB
005 Mounting DBFS File location_en.srt
- 1.64 KB
006 Data walkthrough.mp4
- 4.55 MB
006 Data walkthrough_en.srt
- 1001 B
007 Autoloader LAB.mp4
- 56.39 MB
007 Autoloader LAB_en.srt
- 7.66 KB
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data5540.csv
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38033872-Architecture.pptx
- 146.76 KB
38033908-Streaming-Concepts.dbc
- 30.96 KB
38033918-AUTOLOADER.pptx
- 272.6 KB
38035402-Blob-storage-structure.png
- 94.28 KB
38035414-Blob-Storage-Bronze-table-view.png
- 82.13 KB
38035494-Autoloader.dbc
- 9.45 KB
Sreaming json data
1.json
- 103.79 KB
10.json
- 103.89 KB
11.json
- 103.41 KB
12.json
- 103.7 KB
13.json
- 103.72 KB
14.json
- 103.67 KB
15.json
- 103.35 KB
16.json
- 103.67 KB
17.json
- 103.77 KB
18.json
- 103.39 KB
19.json
- 103.96 KB
2.json
- 103.83 KB
20.json
- 103.81 KB
3.json
- 103.51 KB
4.json
- 103.51 KB
5.json
- 103.72 KB
6.json
- 104.06 KB
7.json
- 103.76 KB
8.json
- 103.66 KB
9.json
- 103.87 KB
06 - Explainable AI
001 Anomaly detection using Isolation forest.mp4
- 58.15 MB
001 Anomaly detection using Isolation forest_en.srt
- 8.65 KB
002 Model interpretation introduction.mp4
- 8.87 MB
002 Model interpretation introduction_en.srt
- 2.34 KB
003 Model interpretation using Shapley value.mp4
- 41.43 MB
003 Model interpretation using Shapley value_en.srt
- 5.37 KB
004 Model interpretation using Shapley values-2.mp4
- 20.44 MB
004 Model interpretation using Shapley values-2_en.srt
- 4.47 KB
38035610-Anomaly-detection-on-transactional-data.ipynb
- 24.25 KB
38035622-processed.csv
- 13.87 MB
38035750-Model-interpretation.ipynb
- 2.95 MB
38035798-Udemy-course-ppt-model-interpreattion.pptx
- 494.15 KB
07 - Spark Structured streaming
001 Structured streaming with Kafka- Theory.mp4
- 41.31 MB
001 Structured streaming with Kafka- Theory_en.srt
- 9.59 KB
002 Demo - Anonymous Wikipedia edits.mp4
- 176.99 MB
002 Demo - Anonymous Wikipedia edits_en.srt
- 20.26 KB
003 Demo - Log analysis using Kafka.mp4
- 28.71 MB
003 Demo - Log analysis using Kafka_en.srt
- 9.75 KB
004 Demo - Twitter analysis using Kafka.mp4
- 117.2 MB
004 Demo - Twitter analysis using Kafka_en.srt
- 10.85 KB
005 Spark structured streaming using Azure EventHub - TBA.html
- 10 B
38035838-Structured-streaming-using-kafka.pptx
- 973 KB
38035896-Wiki-anonymous-edit-using-Kafka.dbc
- 135.9 KB
38035918-Log-analysis-using-kafka.dbc
- 45.52 KB
38035956-ISOCountryLookup.csv
- 10.14 KB
38035966-Spark-structured-streaming-with-Kafka-Tweet-analysis.dbc
- 270.94 KB
08 - MLOPS using MLFlow in DataBricks
001 Introduction.mp4
- 17.33 MB
001 Introduction_en.srt
- 2.68 KB
002 MlFlow tracking demo.mp4
- 55.39 MB
002 MlFlow tracking demo_en.srt
- 6.12 KB
003 Model registry.mp4
- 77 MB
003 Model registry_en.srt
- 9.21 KB
004 Model registry demo.mp4
- 69.47 MB
004 Model registry demo_en.srt
- 8.22 KB
005 Inference using MLFLOW.mp4
- 107.74 MB
005 Inference using MLFLOW_en.srt
- 12.16 KB
006 Parallelly Training ML Models with pandas UDF.mp4
- 30.12 MB
006 Parallelly Training ML Models with pandas UDF_en.srt
- 3.66 KB
007 How ApplyInPandas() function works.mp4
- 11.09 MB
007 How ApplyInPandas() function works_en.srt
- 1.78 KB
008 Productionizing the ML model parallelly.mp4
- 45.53 MB
008 Productionizing the ML model parallelly_en.srt
- 5.34 KB
38045376-Training-model-with-mlflow.dbc
- 32.84 KB
38045580-Inferencing-model-with-mlflow.dbc
- 74.83 KB
38045750-ML-12-Training-with-Pandas-UDFs.dbc
- 74.67 KB
38045772-applyinpandas.pptx
- 45.07 KB
09 - Anomaly detection on Time Series Data
001 TBA.html
- 10 B
10 - Building CI_CD Pipeline using Azure Devops
001 TBA.html
- 10 B
11 - Building Data Pipeline using Azure Data Factory
001 TBA.html
- 10 B
12 - Productionizing model using Azure Function and Docker
001 TBA.html
- 10 B
Bonus Resources.txt
- 386 B
Trackers
Seeders
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InfoHash:
D9287380FD2E83E9AAC17CF7E0989E4A2E5EC3D7
Last updated:
Jan 23, 2022
File count:
3.06 KB
File Category:
9
Tags:
Udemy, Databricks, Data Science, Development, Other, Tutorials
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