Last Updated on July 31, 2024
What you’ll learn
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Understand the fundamentals of Machine Learning and TensorFlow.
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Set up your workstation and explore third-party libraries for data analysis.
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Master essential concepts like NumPy, Pandas, data visualization, and Seaborn.
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Learn about California datasets, data visualization, and processing with Scikit Learn.
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Delve into linear regression, fine-tuning models, and TensorFlow basics.
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Explore advanced topics, including logistic regression and neural networks.
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Apply your knowledge through hands-on projects, such as face mask detection and linear model implementation.
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Develop practical skills for real-world machine learning applications.
