/ml

Primary LanguageJupyter Notebook

Machine Learning

  1. Introduction to Machine Learning
  2. Machine Learning for Regression
  3. Machine Learning for Classification
  4. Evaluation Metrics for Classification
  5. Deploying Machine Learning Models
  6. Decision Trees and Ensemble Learning
  7. Production-Ready Machine Learning (Bento ML)
  8. Neural Networks and Deep Learning
  9. Serverless Deep Learning 10.Kubernetes and TensorFlow Serving