GitHub - HembenDev/ML_LINEAR_REG-HOUSE-PRED_MODEL: Basic supervised algorithm implemented with the Linear_regression model with input feature(size) and target variable(price), manually computed weight(w) and bias(b) to fit model prediction. Training set comprised of 10 training example, x_train for input features(x) and y_train for target output(y)

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Basic supervised algorithm implemented with the Linear_regression model with input feature(size) and target variable(price), manually computed weight(w) and bias(b) to fit model prediction. Training set comprised of 10 training example, x_train for input features(x) and y_train for target output(y)