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In this short course, you will demonstrate introductory knowledge and hands-on experience regarding ML and MLOps. Specifically, you will demonstrate hands-on experience in the following: Python for DataScience and related libraries; building machine learning models through sklearn; automatic build of machine learning models with AutoAI; deploying ML models as API endpoints; versioning the deployed models; explaining AI models; and building prescriptive models with decision optimization.
Question: A python variable can begin with …..
Question: We can visualize data with which Python module?
Question: AutoAI will build ….
Question: Scikit Learn is a framework for building ….
Question: A python container that has key/value pairs is a ….
Question: A Python object type that contains a decimal point is ….
Question: What does the “**” operator do in the python?
Question: The pandas describe method will get statical information for all the data attributes in a dataframe regardless of data type.
Question: In a box plot, the horizontal line through each box represents which value?
Question: AutoAI can build which of the following types of models?
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