Data Engineering, Big Data, And Machine Learning On GCP

Data Engineering, Big Data, and Machine Learning on GCP

Data Engineering, Big Data, and Machine Learning on GCP

> Google Cloud Platform Big Data and Machine Learning Fundamentals > Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform > Serverless Data Analysis with Google BigQuery and Cloud Dataflow > Serverless Machine Learning with Tensorflow on Google Cloud Platform

http://bit.ly/2U1TJJ5

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Learn Big Data : Complete Hadoop Ecosystem with Practicals

Learn Big Data : Complete Hadoop Ecosystem with Practicals

> Understand the different Hadoop Related technologies i.e. Hadoop, Hive with NoSQL databases i.e. Hbase, Cassandra, Redis, MongoDB queries and commands that are required from developer or testers which are used in Development/Testing Arena and they can start working in development/testing profile.

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Christians

https://anchor.fm/shmuel-pollen/episodes/Introduction-To-Judaism-For-Gentiles---Part-2-e6di2j

Yom Kippur Message

Yom Kippur Message - Who Are WeAn episode of Judaism for GentilesBy Shmuel PollenEverything a gentile needs to know about their role in the eyes of Judaism. Also bask in the light of the wisdom of the ancient hasidic masters and kabbalists. https://anchor.fm/shmuel-pollen/episodes/Yom-Kippur-Message---Who-Are-We-e6dnr2

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Applied Data Science with Python

Applied Data Science with Python

> Applied Plotting, Charting & Data Representation in Python > Applied Machine Learning in Python > Applied Text Mining in Python > Applied Social Network Analysis in Python

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Comprehensive Statistics and Data Science with R

Comprehensive Statistics and Data Science with R

> How to use R as a statistical environment following many examples. > How to estimate create and interpret ANOVA, GLM, GAM and regression statistical models with number of examples on each topics. > How to create statistical and other visualizations using both the base and gplot graphics capabilities in R.

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Applied Statistical Modeling for Data Analysis in R

Applied Statistical Modeling for Data Analysis in R

> Identify which statistical techniques are best suited to their data and questions > Implement different statistical analysis in R and interpret the results > Have a strong foundation in fundamental statistical concepts

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