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)

Taylor Series.

Watched Model Optimization Video