GitHub - katiehouse3/Big-Data-Course-Code: Harvard Extension course homework for Big Data Analytics.

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Harvard Extension course homework for Big Data Analytics.

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Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
1_RStudio		1_RStudio
2_Neo4J		2_Neo4J
3_Spark		3_Spark
4_MLlib		4_MLlib
5_Tensorflow		5_Tensorflow
README.md		README.md

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Big Data Analtics - Course Code

Samples of homework scripts written by Katie House for the Harvard Extension Big Data Analytics Course problem sets.

File Format:

P1, P2, etc. - Homework problem script
Output_P1 - Output of specific problem

Example Description:

1_RStudio - Utilize R to create Box Plots, Scatter Plots, Bar Charts, and Histograms of a random distribution.
2_Neo4J - Utilize Python to create nodes, relationships, and schema for a Neo4J Graph Database.
3_Spark - Utilize PySpark RDDs and Dataframes to compare Joyce's Ulysses and the Bible, and create a Product Table.
4_MLlib - Utilize MLlib to create linear regression models for automitive characteristics and ride share count.
5_Tensorflow - Utilize Tensorflow to estimate Euler's constant with Taylor Expansion and limits.

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Harvard Extension course homework for Big Data Analytics.

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