Analyze Datasets and Train ML Models using AutoML

Por: Coursera . en: , ,

  • Week 1: Explore the Use Case and Analyze the Dataset
    • Ingest, explore, and visualize a product review data set for multi-class text classification.
  • Week 2: Data Bias and Feature Importance
    • Determine the most important features in a data set and detect statistical biases.
  • Week 3: Use Automated Machine Learning to train a Text Classifier
    • Inspect and compare models generated with automated machine learning (AutoML).
  • Week 4: Built-in algorithms
    • Train a text classifier with BlazingText and deploy the classifier as a real-time inference endpoint to serve predictions.