Machine Learning, Deep Learning
Foundational ML and DL concepts, algorithms, and hands-on projects using popular libraries.
4 Months 12 modules Intermediate to Advanced 1400+ Students
Course Syllabus
ML Foundations
Supervised vs unsupervised learning, evaluation metrics.
Core Algorithms
Regression, classification, clustering, and feature engineering.
Neural Networks
Perceptrons, feedforward networks, and backpropagation.
Deep Learning Applications
Intro to CNNs/RNNs and project-based implementation.
Meet Your Instructor
Dr. Aditya Singh
Machine learning engineer and researcher with experience in neural networks and predictive modeling.
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