Description
What you’ll learn
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Learn the concepts of Python,Machine learning, Deep Learning,Time series. Implement Real World Projects with Proof Of Concept
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This course consists of 25+ hours video content and Downloadable files for all videos
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Data Scientists need to have a solid grasp of ML
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5 Different Practical Data Science projects with I python Notebooks
Interested in the field of Machine Learning? Then this course is perfect for you!
Designed by professional data scientists, this course offers a clear and engaging path to mastering complex machine-learning concepts, algorithms, and coding libraries.
Discover a comprehensive roadmap connecting key machine learning ideas, practical learning methods, and essential tools.
Machine learning has a real-world impact:
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Healthcare: Assisting in disease diagnosis and treatment recommendations.
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Transportation: Optimizing traffic flow with tools like Google Maps.
Python is the language of choice for data scientists. This course will guide you from Python basics to advanced deep learning techniques.
Uncover the world of AI through four key sections:
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Python: Build a strong foundation with data structures, libraries, and data preprocessing.
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Machine Learning: Master regression, classification, clustering, and NLP.
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Deep Learning: Explore neural networks, CNNs, RNNs, and more.
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Time Series Analysis: Gain insights from sequential data.
Learn by doing with hands-on exercises and real-world projects.
Who is this course for?
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Aspiring data scientists and machine learning enthusiasts
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Students seeking a career in data science
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Data analysts looking to advance their skills
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Anyone passionate about using data to drive business value
Join us on this exciting journey! I’m Akhil Vydyula, an Associate Consultant at Atos India specializing in data analytics and machine learning in the BFSI sector. With a passion for data-driven insights, I’m excited to share my knowledge and experience with you. Let’s explore the world of machine learning together!
Who this course is for:
- Beginner into Machine Learning
- Beginner into Python
- Non CS Students
- Career transition from Non Technical into Data Science
- Fresher to get job into Machine Learning Engineer
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