V2 Maestros Big Data Analytics with Apache Spark and Python | 391D091C151A97E123A84DA07A66627A77F8C05F

V2 Maestros Big Data Analytics with Apache Spark and Python

Name	V2 Maestros - Big Data Analytics with Apache Spark and Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.0 GB
Total Files	47
Hash	391D091C151A97E123A84DA07A66627A77F8C05F

/01 Introduction/
001 About the course.mp4	19.0 MB
002 About V2 Maestros.mp4	4.6 MB
003 Resource Bundle.html	1.0 KB
/02 Overview/
009 Installing Spark and Setting up for Python.mp4	79.6 MB
004 Map Reduce - Example.mp4	76.1 MB
003 Map Reduce - How it works.mp4	42.8 MB
002 HDFS Architecture.mp4	34.4 MB
006 What is Spark.mp4	32.4 MB
008 Spark Architecture - Part 2.mp4	30.0 MB
007 Spark Architecture - Part 1.mp4	28.7 MB
001 Hadoop Overview.mp4	22.7 MB
005 Hadoop Stack.mp4	8.8 MB
/03 Programming with Spark/
005 Python - Spark Programming Examples 2.mp4	110.3 MB
004 Python - Spark Programming examples 1.mp4	98.5 MB
002 Spark Actions.mp4	41.5 MB
001 Spark Transformations.mp4	25.9 MB
003 Advanced Spark Programming.mp4	19.0 MB
/04 Spark SQL/
002 Python - Spark SQL Examples.mp4	103.7 MB
001 Spark SQL Overview.mp4	22.8 MB
/05 Spark Streaming/
002 Python - Spark Streaming examples.mp4	114.4 MB
001 Streaming with Apache Spark.mp4	36.8 MB
/06 Real time Data Science/
007 Types of Learning.mp4	38.0 MB
002 The Dataset.mp4	27.2 MB
006 Types of Analytics.mp4	27.0 MB
003 Learning from relationships.mp4	26.1 MB
004 Modeling and Prediction.mp4	24.1 MB
005 Data Science Use Cases.mp4	24.0 MB
001 Basic Elements of Data Science.mp4	22.0 MB
008 Doing Data Science in real time with Spark.mp4	13.2 MB
/07 Machine Learning with Spark/
004 Spark Use Case Linear Regression.mp4	132.1 MB
006 Spark Use Case Decision Trees Classification.mp4	103.3 MB
014 Spark Use Case K-Means.mp4	98.7 MB
009 Python Use Case Random Forests PCA.mp4	94.1 MB
012 Spark Use Case Naive Bayes TF-IDF.mp4	54.2 MB
011 Naive Bayes Classification.mp4	52.9 MB
017 Real Time Twitter Data Sentiment Analysis.mp4	47.4 MB
003 Linear Regression.mp4	47.2 MB
016 Spark Use Case Collaborative Filtering.mp4	37.0 MB
002 Analyzing Results and Errors.mp4	32.8 MB
010 Text Preprocessing with TF-IDF.mp4	32.1 MB
015 Recommendation Engines.mp4	29.9 MB
013 K-Means Clustering.mp4	29.7 MB
008 Random Forests Classification.mp4	25.2 MB
005 Decision Trees.mp4	23.2 MB
001 Spark Machine Learning.mp4	22.7 MB
007 Principal Component Analysis.mp4	16.0 MB
/08 Conclusion/
001 Closing Remarks.mp4	3.6 MB
Total files 47