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What You'll Learn
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Implement Linear and Logistic Regression from scratch✓
Build Decision Trees and Random Forest models for classification✓
Evaluate ML models using accuracy, precision, recall and F1 score✓
Apply feature engineering techniques to improve model performance✓
Understand neural networks from perceptron to deep learning✓
Build CNNs for image classification using TensorFlow and Keras✓
Apply transfer learning to solve real-world vision problems✓
Deploy machine learning models to production as REST APIs📖
Course Content
Module 1
Foundations of Machine Learning
Master Foundations of Machine Learning with practical, real-world examples and visual learning.
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Your Instructor
✨This Course Includes
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3 modules: Supervised Learning, Model Evaluation & Deep Learning✓
Python, scikit-learn, TensorFlow and Keras covered✓
Real Indian dataset projects throughout✓
End-to-end ML pipeline from data to deployment✓
Certificate upon completion✓
Lifetime access✓
Mobile & desktop access✓