WEEK 4: Intro to Machine Learning

​Goal: Start training baby models.

• ​What is machine learning? Supervised vs unsupervised
  
  

• ​Common algorithms (Linear Regression, Decision Trees, KNN)
  
  

• ​Train/test split + model evaluation (accuracy, confusion matrix)
  
  

• ​Using Scikit-Learn to train your first model
  
  

• ​Assignment: Build a model that predicts student performance based on data