Machine Learning, Regression, Data Science.
form, it can be represented as: ŷ = hθ(x) = θ · x ; where hθ is the hypothesis function using model params θ. Normal equation/closed-form solution to linear regression (Complexity is O(n3)) from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error, r2_score