Complete Machine Learning With Real-World Deployment

Comprehensive Guide to Machine Learning Algorithms and Projects From Theory to Deployment: A Hands-On Machine Learning J

What you'll learn
Learn the concepts of Python,Machine learning, Deep Learning,Time series. Implement Real World Projects with Proof Of Concept
This course consists of 25+ hours video content and Downloadable files for all videos
Data Scientists need to have a solid grasp of ML
5 Different Practical Data Science projects with I python Notebooks

Requirements
There is no specific prerequisite to learn machine learning. But you need to be from engineering/science/Maths/Stats background to understand the theory and the techniques used. You need to be good in mathematics. If you are not, still you can machine learning, but you will face difficulty when solving complex real world problems. Many say you need to know Linear algebra, Calculus etc. etc. but I never learnt it, yet I am able to work on machine learning.

Description
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:Healthcare: Assisting in disease diagnosis and treatment recommendations.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:Python: Build a strong foundation with data structures, libraries, and data preprocessing.Machine Learning: Master regression, classification, clustering, and NLP.Deep Learning: Explore neural networks, CNNs, RNNs, and more.Time Series Analysis: Gain insights from sequential data.Learn by doing with hands-on exercises and real-world projects.Who is this course for?Aspiring data scientists and machine learning enthusiastsStudents seeking a career in data scienceData analysts looking to advance their skillsAnyone passionate about using data to drive business valueJoin 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