Day 8, Day 9 of #66DaysofData: Datacamp – Introduction to Linear Modeling in Python.
1Exploring Linear Trends – (Day 8)
Interpolation is a model prediction for determining points between “inside” two known data points.
Extrapolation is a model prediction for estimating data points that are outside the range of the known data points.
y = mx + b
dy = (y2 – y1)
dx = (x2 – x1)
m = slope = rise-over-run = dy/dx
b = y-intercept
Variance measures how a single variable varies.
Covariance measures how two variables “vary together”.
2Building Linear Models – (Day 9)
Watched Model Optimization Video