Deep Learning, Linear Algebra, Neural Networks, Machine Learning, Artificial Intelligence.
between the features (X) and the target variable (y). 2. Using linear algebra, we apply the Normal Equation to calculate the optimal coefficients (intercept and slope) for a linear regression model. 3. We make predictions on new data points (X_new) using the calculated coefficients. 4. Finally, we