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Posted: September 18th, 2022
PRT565 Assessment
PRT565 Assessment 1 Due: Week 6
Minimal 800 Traces of Coding Train
Sort: Particular person
Goal: Develop a ML primarily based mannequin utilizing any of Logistic Regression, Choice Tree or Random
Forest
Growth Platform: Python (utilizing Jupyter Pocket book or some other IDE of your alternative)
Dataset: Use any related datasets from https://www.kaggle.com/datasets OR
https://archive.ics.uci.edu/ml/datasets.php
Deliverables: Coding Script (.ipynb), together with your Identify and ID clearly talked about on prime
Word: Your code ought to be totally commented and execute appropriately. You might also embody
coding blocks that describes the information, reveals related statistic and completes essential information
preprocessing and cleansing.
Minimal 800 Phrases of Reporting (Should embody an applicable Cowl Web page)
Sort: Particular person Reporting on the above Coding train
Format: Font: Instances New Roman, 12 Factors; Line House: 1.5; Web page Alignment: Justify
Word: Your report ought to include:
• Downside Description
• Dataset Description
• Alternative of Algorithm
• Description of key steps similar to splitting the dataset, coaching and testing
• Outcomes obtained (Accuracy) and Your general understanding
The report ought to be correctly formatted with applicable headings and sub-headings. The
presentation should be skilled. Chances are you’ll embody screenshots of your related coding
segments whereas explaining.
Submit in PDF format. You possibly can set up this MS Phrase Plug-in:
https://www.cutepdf.com/obtain/CuteWriter.exe — and may print the Phrase doc out
as a PDF file.
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