Master Machine Learning for AI Using Python in this dedicated course designed for beginners and intermediates. Start with Core Python, dive into OOP, Exception Handling, and Multithreading, then master essential data libraries: NumPy, Pandas, Matplotlib, Seaborn, and scikit-learn. Learn the full machine learning pipeline—data preprocessing, model building, evaluation, and tuning—without diving into Deep Learning. Get live training and access to lecture recordings, build a real-world Capstone Project, and practice with 150+ assignments & problems, plus MCQ-based assessments to test your concepts. Whether you're aiming for a data science career or AI application development, this course gives you a strong foundation in Machine Learning using Python—without overwhelming you with deep learning concepts.
4.6+ ( 450+ Learners )
The Trainer’s Blueprint : Your Path to Mastery
With 15+ years of experience in IT & Computer Science, I have been at the forefront of both industry and education. My journey includes 5 years in the IT industry and 15 years as a tech educator, with the last 10 years dedicated to corporate IT training.
I specialize in a wide range of technologies, including C, C++, Data Structures, Java, Python, Machine Learning, JavaScript, React JS, Spring, and Hibernate. Over the years, I have mentored and guided countless students toward successful placements, shaping their careers in tech.
My passion lies in making complex concepts simple, bridging the gap between theory and real-world application. If you're ready to master technology with a hands-on, industry-focused approach, let's embark on this learning journey together! 🚀