Course Highlights
  • Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression).
  • Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods.
  • Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection.
  • Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model.
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Machine Learning Specialization

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