Machine Learning Full Course

The Machine Learning Full Course offers an in-depth exploration of both foundational and advanced machine learning techniques. From understanding key algorithms and mastering tools like scikit-learn and TensorFlow to hands-on projects and real-world applications, this course equips you with the skills needed to build and deploy effective machine learning models. Whether you're a beginner or have some prior knowledge, you'll gain practical experience and theoretical insights to tackle complex data problems and advance your career in data science and artificial intelligence.

Coding University

26:33:12 Hours

128 Enrolled

    • (4.84 | 25 Reviews)

English

Last updated

Tue, 30-Jul-2024

Course description

Course Overview

Embark on a transformative journey through the world of machine learning with our comprehensive full course. Designed for both beginners and those with some prior knowledge, this course covers foundational concepts and advanced techniques in machine learning. You will explore supervised and unsupervised learning, neural networks, deep learning, and practical applications of machine learning algorithms. Our curriculum is structured to provide a deep understanding of algorithms, practical implementation using popular libraries like scikit-learn and TensorFlow, and hands-on projects to solidify your learning. By the end of the course, you’ll be equipped to build and deploy machine learning models effectively.

Key Learning Objectives

  • Understand the fundamental concepts and terminology of machine learning.
  • Master various types of machine learning algorithms, including supervised and unsupervised learning.
  • Gain proficiency in using popular machine learning libraries such as scikit-learn, TensorFlow, and Keras.
  • Develop skills to preprocess and analyze data for machine learning applications.
  • Build and evaluate machine learning models, including regression, classification, clustering, and neural networks.
  • Apply best practices for model selection, training, and hyperparameter tuning.
  • Implement machine learning solutions in real-world scenarios through hands-on projects.

Requirements

  • Basic knowledge of programming, preferably in Python.
  • Familiarity with mathematical concepts such as linear algebra and calculus.
  • Understanding of fundamental statistics and probability.
  • Access to a computer with an internet connection and the ability to install software packages.
  • Enthusiasm for learning and solving complex problems.

Outcomes

  • Develop a solid foundation in machine learning theory and practice.
  • Implement a range of machine learning algorithms and techniques to solve diverse problems.
  • Effectively preprocess and analyze data, improving model accuracy and performance.
  • Gain practical experience by working on real-world projects and case studies.
  • Achieve proficiency in using major machine learning libraries and tools.
  • Understand and apply best practices for model evaluation and optimization.
  • Be prepared for advanced topics in machine learning and data science.

Certification

Upon successful completion of the Machine Learning Full Course, participants will receive a comprehensive certificate that acknowledges their expertise and readiness to tackle machine learning challenges. This certification demonstrates proficiency in key machine learning concepts and practical applications, enhancing your qualifications for roles in data science and artificial intelligence. The certificate will be a valuable addition to your professional credentials, showcasing your commitment to advancing your skills in this rapidly evolving field.

What will i learn?

  • Develop a solid foundation in machine learning theory and practice.
  • Implement a range of machine learning algorithms and techniques to solve diverse problems.
  • Effectively preprocess and analyze data, improving model accuracy and performance.
  • Gain practical experience by working on real-world projects and case studies.
  • Achieve proficiency in using major machine learning libraries and tools.

Requirements

Coding University

View profile

Barbara Perry

09-Aug-2024

4

This comprehensive course offers an excellent balance of theory and practice, covering essential algorithms and tools like scikit-learn and TensorFlow. The hands-on projects greatly enhance learning. A minor drawback is the pacing, which can sometimes feel rushed for beginners. Overall, it’s a fantastic resource for anyone looking to advance in data science and AI!

Chloe Ramos

09-Aug-2024

5

Comprehensive, engaging, and practical; perfect for aspiring data scientists!

Mary Barnes

09-Aug-2024

5

Comprehensive, hands-on experience equips you with essential skills for success in data science. Highly recommended!

Linda King

09-Aug-2024

5

This comprehensive course effectively blends foundational and advanced machine learning concepts, utilizing tools like scikit-learn and TensorFlow. Engaging hands-on projects and real-world applications provide practical experience, making it ideal for both beginners and those with prior knowledge looking to enhance their skills in data science and AI.

Ashley Ross

09-Aug-2024

5

Invaluable insights and projects! Perfect for aspiring data scientists!

Sharon Carter

08-Aug-2024

5

This course exceeded my expectations with its comprehensive approach to machine learning. The balance of theory and hands-on experience using tools like TensorFlow is remarkable. Engaging projects and real-world applications enriched my learning, making it an invaluable asset for anyone looking to advance in data science and AI! Highly recommend!

Donna Cruz

08-Aug-2024

5

This comprehensive course brilliantly balances foundational concepts with advanced techniques. The hands-on projects and real-world applications truly enhance learning. Mastering tools like scikit-learn and TensorFlow empowers all skill levels, making it an invaluable resource for aspiring data scientists and AI enthusiasts!

John Campbell

08-Aug-2024

5

This comprehensive course expertly blends foundational concepts with advanced techniques, providing hands-on projects and real-world applications. Perfect for beginners and those with prior knowledge, it equips learners with essential skills for a successful career in data science and AI.

Dorothy Castillo

08-Aug-2024

4

This course offers an exceptional journey through the fascinating world of machine learning. The comprehensive coverage of both foundational concepts and advanced techniques, paired with practical projects, ensures a rich learning experience. The focus on tools like scikit-learn and TensorFlow is particularly impressive, making complex topics accessible. However, the breadth of content can sometimes feel overwhelming for complete beginners. Overall, it’s an invaluable resource for anyone looking to dive into data science and AI.

Carol Richardson

08-Aug-2024

5

An exceptional course that brilliantly blends theory and practical skills, empowering learners to excel in machine learning and data science!

Raymond Smith

08-Aug-2024

5

This comprehensive course expertly balances foundational concepts with advanced techniques, utilizing tools like scikit-learn and TensorFlow. Its hands-on projects and real-world applications provide invaluable practical experience, making it suitable for both beginners and those with prior knowledge eager to enhance their skills in data science and AI.

Ava Bell

07-Aug-2024

5

This comprehensive course brilliantly blends foundational theory with practical hands-on projects. Mastering tools like scikit-learn and TensorFlow, participants gain essential skills to tackle real-world data problems, empowering both beginners and experienced learners to advance their careers in AI and data science.

Richard Ortiz

07-Aug-2024

5

An exceptional program that bridges theory and practice, empowering learners with essential skills in advanced techniques, real-world applications, and effective model deployment in data science.

Ronald Williams

07-Aug-2024

5

Exceptional course, comprehensive, hands-on, and career-enhancing experience!

Michael Ruiz

07-Aug-2024

5

This comprehensive program blends theory and hands-on projects, empowering learners to master algorithms and tools essential for solving real-world data challenges in AI.

Timothy Powell

06-Aug-2024

3

This comprehensive course excels in blending foundational knowledge with advanced techniques, offering practical experience with tools like scikit-learn and TensorFlow. Hands-on projects enhance learning, making it valuable for all skill levels. However, the pacing may be overwhelming for beginners, and some modules lack depth on complex topics. Overall, it’s a solid choice for aspiring data scientists.

Lily Lee

05-Aug-2024

5

This course is a game-changer for aspiring data scientists! It masterfully combines foundational concepts with advanced techniques, featuring hands-on projects and real-world applications. The practical experience gained here is invaluable for tackling complex data problems and advancing your career. Highly recommended!

Patricia Gonzalez

05-Aug-2024

5

This course is a game-changer! It expertly balances foundational concepts and advanced techniques, with hands-on projects that boost practical skills. The clear instruction and real-world applications make it perfect for anyone looking to excel in data science and AI. Highly recommend!

Scott Stewart

05-Aug-2024

5

Transformative learning experience for aspiring data scientists and practitioners!

Lily Jenkins

04-Aug-2024

5

An exceptional course that seamlessly combines theory and practical experience, empowering learners to master machine learning and advance their careers!

Timothy Clark

04-Aug-2024

5

This comprehensive course excels at blending foundational knowledge with practical application. The hands-on projects and real-world case studies enhance learning, while mastering tools like scikit-learn and TensorFlow empowers you to confidently tackle complex data challenges and advance your career. Highly recommended!

Ruth Williams

04-Aug-2024

5

Comprehensive, practical, and insightful—perfect for anyone serious about mastering machine learning! Highly recommended!

William Ramirez

04-Aug-2024

5

Incredible course! Comprehensive content, practical projects, and expert insights equip learners with essential machine learning skills for real-world success.

Susan Henderson

01-Aug-2024

5

This comprehensive course expertly blends theory and practice, empowering learners to confidently tackle real-world machine learning challenges. Highly recommended!

John Richardson

30-Jul-2024

5

This comprehensive course is a fantastic resource for anyone looking to dive into the world of machine learning. It brilliantly balances foundational theory with hands-on projects, ensuring a practical understanding of key algorithms and tools like scikit-learn and TensorFlow. Whether you're just starting out or looking to enhance your skills, you’ll gain valuable insights and experience that will undoubtedly propel your career in data science and AI!

$9.99

$109.99

Lectures

20

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes
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