Python Programming.

Python Programming.

First assignment;

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  • Utilize one of the following Web sites to identify a dataset to use, preferably over 500K rows of data:
  • Utilize a machine learning algorithm to create a prediction. K-nearest neighbors is recommended as an introductory algorithm. Your algorithm should read in the dataset, segmenting the data with 70% used for training and 30% used for testing. Illustrate the results as output.
  • Create a Microsoft Word document that describes how this algorithm could be used to predict new records that are generated. This is often called scoring new records.

Second Assignment;

you will utilize the dataset provided by Data.Gov. This dataset provides demographics by zip code and is available in many formats, such as CSV, JSON, XML, and RDF. For this assignment, complete a Python program that covers the following:

  1. Ingest the data via one of the provided formats.
  2. Create a data structure to store the data.
  3. Conduct any cleansing and preprocessing needed.
  4. Create either a descriptive report or a predictive algorithm using the data.

Once the Python program is complete, create a Microsoft Word document that describes the data pipeline and how this code could be used in the future, such as utility planning, safety services, or many other viable options.

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