Python Machine Learning: From Beginner to Pro

Are you eager to dive into the exciting world of machine learning and harness the power of Python? This comprehensive course is designed to guide you from a beginner to a proficient machine learning practitioner.

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05:38:39 Hours

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English

Last updated

Wed, 27-Nov-2024

Course description

Python Machine Learning: From Beginner to Pro is a comprehensive guide designed to take you from the fundamentals of Python programming to advanced machine learning concepts.

  • It covers key topics such as data preprocessing, model building, evaluation, and optimization using popular libraries like Scikit-learn, TensorFlow, and Keras.
  • The book provides hands-on examples and practical projects, helping learners gain a deep understanding of machine learning algorithms, neural networks, and data analysis techniques.
  • Whether you're a beginner or looking to sharpen your skills, this resource equips you with the tools and knowledge to succeed in the field of machine learning.

What will i learn?

  • Gain a solid understanding of Python programming, including syntax, data structures, and control flow.
  • Learn techniques for cleaning, preparing, and transforming data for machine learning models.
  • Explore the core principles and algorithms of machine learning, such as supervised and unsupervised learning.
  • Discover methods for creating new features or selecting relevant features for model building.

Requirements

  • No experience required

Frequently asked question

While some basic knowledge of Python is helpful (such as understanding variables, loops, and functions), the book explains key Python concepts where necessary, so beginners can follow along. It assumes no prior knowledge of machine learning, and all algorithms and concepts are explained in detail.

No special hardware is required, but it's recommended that you have access to a computer with an internet connection to install Python libraries and tools. For deep learning projects, a machine with a GPU can speed up training, but it is not strictly necessary for beginners.

Yes, the course offers links to further reading, online tutorials, and additional exercises that help reinforce key concepts. Some versions may include access to online repositories with code examples and exercises.

While this course gives you a solid foundation in machine learning techniques, securing a job in the field requires both theoretical knowledge and practical experience. The hands-on projects in this course will give you a strong portfolio to demonstrate your skills, but additional practice, learning, and real-world projects will enhance your job prospects.

₹499

₹799

Lectures

26

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes
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