Low-Code technology

• Google simple ML

https://simplemlforsheets.com/tutorial.html

Play

• Missing value

  • Observe the data, Can you find the rules to recover missing value ?

  • Check The plot and analysis of the data in Kaggle 

            https://www.kaggle.com/code/pratik1120/penguin-dataset-eda-classification-and-clustering

• Abnormal Value

See Abalone on Kaggle

https://www.kaggle.com/code/sriram1204/abalone-machine-learning-insights

https://medium.com/analytics-vidhya/classification-method-for-estimating-the-numbers-of-rings-of-abalone-bb13264dd186

• Prediction 

• Training a Model

  • Understand the Model

https://simplemlforsheets.com/tutorial_advanced.html

Observe most relevant features to the label data ( see figures of bill_lengh)

• Evaluate a model

Accuracy

https://developers.google.com/machine-learning/crash-course/classification/accuracy

ROC VS AUC

https://developers.google.com/machine-learning/crash-course/classification/roc-and-auc

• Prediction using model       
  
  

Exercise:

• Try to use less features to train a model

• Evaluate the model

ML INTRO SECTION 

• https://developers.google.com/machine-learning/crash-course/ml-intro

• https://developers.google.com/machine-learning/intro-to-ml