Essential Machine Learning and AI with Python and Jupyter Notebook

This 8-hour LiveLesson video course focuses on teaching the basics of Python-based Machine Learning in AWS and Google Cloud Platform. Instructor Noah Gift demonstrates how these platforms can be used to solve real-world business problems in Machine Learning or AI. The course begins by explaining how to use Python through Jupyter Notebook. It then delves into the essential data science libraries in Python, such as Pandas, Seaborn, scikit-learn, TensorFlow, and TensorFlow. EDA (exploratory analysis of data) is highlighted as the core of Machine Learning, and the series demonstrates how to perform EDA using Python and Jupyter Notebook.

In addition to covering the technical aspects of Machine Learning, this course also emphasizes software engineering fundamentals. It provides instruction on important concepts like linting and testing, command-line tools, and data engineering APIs. By integrating these skills, learners can gain a comprehensive understanding of Machine Learning and AI.

To support the course content, the accompanying code can be found at http://www.informit.com/store/essential-machine-learning-and-ai-with-python-and-jupyter-9780135261095.

Overall, this course offers a thorough introduction to Python-based Machine Learning in AWS and Google Cloud Platform. It is suitable for individuals looking to learn the basics of Machine Learning, as well as those interested in using Python for AI applications.