Machine Learning Algroithm Evaluation

Description

Machine learning can be seen in my applications today such as your favorite movie service making recommendations for you or the thought of being driven around by an autonomous car. This artificial intelligence approach implies that systems can learn from patterns and also make decisions with little human intervention.

Dataset to be implemented: https://www.kaggle.com/gpreda/covid-world-vaccinat…

I want to see in a bar graph of the 10 most populated countries vaccination rates for every month of 2021.

Order of countries:

China, India, USA, Indonesia, Pakistan, Brazil, Nigeria, Bangladesh, Russia, Mexico.

Once the dataset is decided, determine the best Supervised Machine Learning approach, and create an algorithm. Implement your algorithm in Python.

Submit 2 files for this assignment. 1 code file of 80-100 lines (alternative Jupyter Notebook that contains the description, code, comments, and results in a single file) and a 1-page summary using MS Word.

Code must be well-commented
Code should adhere to best practice code standards.
Include the results with screen shots and a 1-page summary on the model interpretation in the MS Word document. (MS Word Document not necessary if project is done in Jupyter Notebook)

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