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Machine Learning

Data & AIAdvanced⏱ 48 Hours

An advanced, hands-on Machine Learning course covering classical ML, deep learning, NLP, computer vision, model deployment, and MLOps. Built on Python's ML stack: Scikit-learn, TensorFlow/Keras, and Hugging Face. Students progress from mathematical foundations to deploying production ML models. Prepares students for ML engineer and AI developer roles.

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What You'll Learn

  1. 1ML Foundations & Math Review
  2. 2Data Preprocessing for ML
  3. 3Linear & Logistic Regression
  4. 4Decision Trees & Ensemble Methods
  5. 5SVM, KNN & Naive Bayes
  6. 6Neural Networks Fundamentals
  7. 7Deep Learning with TensorFlow/Keras
  8. 8Natural Language Processing
  9. 9Computer Vision Basics
  10. 10Model Evaluation & Hyperparameter Tuning
  11. 11MLOps & Model Deployment
  12. 12Ethics, Fairness & Capstone Prep