Essential Machine Learning and AI with Python and Jupyter Notebook

This 8-hour LiveLesson video course shows how AWS and Google Cloud Platform can be used to solve real-world business problems in Machine Learning and AI. Noah Gift covers how to get started with Python via Jupyter Notebook, and then proceeds to dive into nuts and bolts of Data Science libraries in Python, including Pandas, Seaborn, scikit-learn, and TensorFlow.

EDA, or exploratory data analysis, is at the heart of the Machine Learning; therefore, this series also highlights how to perform EDA in Python and Jupyter Notebook. Software engineering fundamentals tie the series together, with key instruction on linting, testing, command-line tools, data engineering APIs, and more.

What You Will Learn
Introduces Data Science concepts and Python fundamentals for Machine Learning
Teaches how to develop a Data Engineering API with Flask and Pandas
Walks through EDA (exploratory data analysis)
Explains Python and AWS
Covers Python and Google Cloud Platform

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