Udemy.Data.Science.Hands.on.Diabetes.Prediction.with.Pyspark.MLlib.BOOKWARE-BLZiSO

Section
Appz
Group
BLZiSO
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318,94 MB
Files
25
Date
2026-04-19

NFO

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            █ Data Science Hands on Diabetes            █            ▀▀███▀▀
            █ Prediction with Pyspark MLlib             █            ▀▀███▀▀
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           ▀█ release date.: 19/04/26  disks........: 01                ▓
            █ supplier.....: Bill      os...........: Win               █
            ▓ cracker......: Bill      protection...: Bill            ▄ █
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	Would you like to build, train, test and evaluate a machine learning
	model that is able to detect diabetes using logistic regression?

	This is a Hands-on Machine Learning Course where you will practice
	alongside the classes. The dataset will be provided to you during the
	lectures. We highly recommend that for the best learning experience,
	you practice alongside the lectures.

	You will learn more in this one hour of Practice than hundreds of
	hours of unnecessary theoretical lectures.

	Learn the most important aspect of Spark Machine learning (Spark MLlib):
	- Pyspark fundamentals and implementing spark machine learning
	- Importing and Working with Datasets
	- Process data using a Machine Learning model using spark MLlib
	- Build and train Logistic regression model
	- Test and analyze the model

	https://www.udemy.com/course/data-science-hands-on-diabetes-prediction-with-pyspark-mllib/

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Files

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b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0014,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0114,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0214,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0314,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0414,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0514,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0614,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0714,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0814,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r0914,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1014,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1114,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1214,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1314,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1414,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1514,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1614,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1714,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1814,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r1914,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r2014,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.r214,11 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.rar14,31 MB
b-udydtasacinechndsodaibetsprdecitinwhtpsyrkmilb.sfv1,42 KB
blziso.nfo11,50 KB