Machine Learning, Regression, Data Science.
(y=ax+b; where a is slope and b is intercept of the line) or it can also be represented as: ŷ = θ0 + θ1x1 + θ2x2 + ⋯ + θnxn where ŷ is predicted value, n is number of predictors/features, xi is ith predictor and θ is model paramter where θ0 is bias and θj is each features weight. In vectorized