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L1 EMFT Intro Crash Course on Electromagnetic Field Theory EMFT Nation Innovation

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17 Reviews
Krishna Prajapati

nice 2025-07-06

APPASAHEB SAVATA RAUT

nice 2025-07-06

Hamail Ali

Amazing 2025-06-27

sachin Mass

Excellent 2025-06-26

Ayush Pandey

good 2025-06-18

Aryan patel

thank you vary much for teaching 2025-06-18

Âmäñ Båsêrâ

dvcfbgvhnjml,/;mjhgfdzxcvbnm,. 2025-06-17

S R NANDINI 2022-2026

nice 2025-06-17

KISHOR K NAIR

Good 2025-06-16

2022-EE-11 Muzammal Saadullah

I’m grateful to have received this certificate. The course was very informative, and the certificate serves as a great motivation to keep learning. Thank you for organizing such a meaningful program. 2025-06-15

Hendy

The course on machine learning seems to have nothing to do with machine learning. 2025-06-12

ahtasham ulhaq

It is Good 2025-06-10

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Course Description

Machine learning, in this course we will learn the foundational concepts and practical applications of machine learning. You will explore various types of learning methods including supervised, unsupervised, and reinforcement learning. We'll cover essential algorithms such as linear regression, logistic regression, decision trees, k-nearest neighbors, support vector machines, and clustering techniques like K-means. You will also gain hands-on experience with model training, evaluation, overfitting, cross-validation, and performance metrics. The course emphasizes real-world problem-solving using Python and popular ML libraries like Scikit-learn and TensorFlow. Whether you're aiming to build predictive models, automate tasks, or analyze patterns in data, this course provides a comprehensive and accessible path to mastering machine learning techniques. Nation Innovation
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