Scalable-Machine-Learning-using-PySpark

This project looked at scalable machine learning for a movie recomemdantion set utilising ALS (alternative least squares)

A NASA data set was used as a familiarisation to pySpark. The data was plotted using matplotlib.

Note: I achieved 100/100 for this project

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
AS1_Report (1)v3.pdf		AS1_Report (1)v3.pdf
Assignment_q1_output.txt		Assignment_q1_output.txt
Assignment_q2a_v8.txt		Assignment_q2a_v8.txt
Figure_1A_BarChart.png		Figure_1A_BarChart.png
Figure_1D_piechart.png		Figure_1D_piechart.png
Figure_2B_BarChart.png		Figure_2B_BarChart.png
Figure_2_std.png		Figure_2_std.png
README.md		README.md
figure_1D_BarChart.png		figure_1D_BarChart.png
q1.py		q1.py
q1.sh		q1.sh
q2.sh		q2.sh
q2A-original.py		q2A-original.py
q2A-original.sh		q2A-original.sh
q2C-output-als1.txt		q2C-output-als1.txt
q2C-output-als2.txt		q2C-output-als2.txt
q2C-output-als3.txt		q2C-output-als3.txt
q2C.py		q2C.py
q2C.sh		q2C.sh
q2D-countTagsOutput.txt		q2D-countTagsOutput.txt
q2D-countTagsScript.sh		q2D-countTagsScript.sh
q2D-counttags.py		q2D-counttags.py
q2D-getTagsoutput.txt		q2D-getTagsoutput.txt
q2D-getTagsscript.sh		q2D-getTagsscript.sh
q2b.py		q2b.py
q2b.sh		q2b.sh
q2d-getTags.py		q2d-getTags.py

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