notebook.community

Machine Learning for Health Metricians

Week 4: Evaluating what has been learned



In [1]:

    
import numpy as np, pandas as pd, matplotlib.pyplot as plt, seaborn as sns
%matplotlib inline
sns.set_context('poster')
sns.set_style('darkgrid')

Any Questions?

Week 4

Class 1: review homework, discuss cross-validation, ~~begin exercise~~
Class 2: begin exercise, continue exercise, discuss metrics of success

Before this week:
- Read 2 chapters (DM 5, ISL 5.1 and 5.2)
- Complete Prediction computational exercise
During this week’s classes:
- Guided tour and hands-on experience of cross-validation with VA data.
Outside of classes:
- Read sections 6.1, 8.1
- Complete “Cross-validation” computational exercise

Lecture 4b Outline:

Verbal Autopsy
Exercise 4: Cross-validation
Mid-course feedback

Any (more) questions?

Data: PHMRC VA Validation Study

Lecture 4b Outline:

Verbal Autopsy
Exercise 4: Cross-validation
Mid-course feedback

Lecture 4b Outline:

Verbal Autopsy
Exercise 4: Cross-validation
Mid-course feedback

https://pad.riseup.net/p/jzftulpuCrqk



In [2]:

    
import ipynb_style
reload(ipynb_style)
ipynb_style.presentation()









    Out[2]: