Machine learning

hari mohan

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Machine learning
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1,000
120 mins

  1. Supervised Learning (Regression & Classification)
  2. Ensemble Learning (Random Forest, XGBoost)
  3. Unsupervised Learning (Clustering, PCA)
  4. Model Evaluation & Hyperparameter Tuning
  5. MLOps (Git, Docker, FastAPI, MLflow)
  6. End-to-End ML Projects
  7. Deployment on AWS/Cloud