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About Course

ML001 is a three-month immersive program designed to equip participants with a solid
foundation in Data Science/Machine learning, Python programming, deep learning, and
introductory research skills. The course blends theoretical concepts with hands-on projects
to ensure participants gain practical experience in applying machine learning techniques to
real-world problems. Whether you’re a beginner looking to enter the field or a professional
seeking to enhance your skills, ML001 provides a holistic learning experience.


Course Description:
ML001 is a dynamic blend of theory and more of practice, designed to equip participants
with a comprehensive understanding of Data Science and Machine Learning. From Python
fundamentals to advanced deep learning techniques, the course unfolds in a rhythmic
progression, ensuring you grasp each concept before diving into the next. Through
real-world projects, you’ll not only apply your knowledge but also gain the confidence to
tackle diverse challenges in the field.

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What Will You Learn?

  • Practical Proficiency:
  • Gain hands-on experience through projects that translate theoretical knowledge into
  • practical skills. Dive into real-world applications, ensuring you're ready to tackle challenges
  • in any professional setting.
  • Holistic Learning Experience:
  • Immerse yourself in the complete spectrum of Data Science and Machine Learning, from
  • Python basics to advanced deep learning techniques. Explore the synergy between
  • theoretical understanding and real-world application. Flexible for All Levels:
  • Tailored for beginners seeking a solid foundation and professionals aiming to elevate their
  • skills. Whether you're stepping into the field or scaling up your expertise, ML001 is your
  • customized learning journey.
  • Inspiring Research Exploration:
  • Embark on an introductory journey into the world of research, igniting your curiosity and
  • paving the way for future exploration. Develop the skills to formulate questions, navigate
  • academic literature, and contribute meaningfully to the world of data-driven discovery.

Course Content

Module 1

  • Introduction to Machine Learning and Python Basics

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

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