Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
feature are distributed according to a Gaussian (normal) distribution. The model is then trained (fitted) on the training data. It learns to associate the input features (pixel values) with the target values (digit classes). 4. Predict and Evaluate: After training, the model is used to predict the