Machine Learning, Data Science and Deep Learning with Python by Frank Kane

This course teaches how to build artificial neural networks and implement machine learning using Python. You’ll gain hands-on experience with TensorFlow, Keras, and Apache Spark, making it ideal for aspiring data scientists and programmers.

Key Learning Outcomes

• artificial neural networks: Learn to construct and train neural networks using TensorFlow and Keras for various applications, including image and sentiment classification.
• machine learning techniques: Explore essential machine learning methods such as linear regression, polynomial regression, and multivariate regression to analyze complex datasets effectively.
• data visualization tools: Master data visualization with Matplotlib and Seaborn, enabling you to present data insights clearly and effectively to stakeholders.
• reinforcement learning projects: Engage in practical projects like creating a Pac-Man bot, which solidifies your understanding of reinforcement learning concepts.

This course is designed for individuals looking to deepen their knowledge of machine learning and data science, providing practical skills that can be applied in real-world scenarios.

Who This Course Is For

• New programmers seeking to enter the field of data science and machine learning.
• Data analysts aiming to enhance their skills and transition into more technical roles.
• Professionals interested in applying machine learning techniques to solve real-world problems.

File Details
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Total Size: 10GB

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– Enter your email address in the "Message" field at checkout.
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