In the previous sections, we saw how to perform feature engineering to enhance the performance of our machine learning system. Now, we are going to discuss some tips and best practices to build robust intelligent systems. Let's explore some of the best practices in the different aspects of machine learning projects.
Best practices for machine learning
Information security datasets
Data is a vital part of every machine learning model. To train models, we need to feed them datasets. While reading the earlier chapters, you will have noticed that to build an accurate and efficient machine learning model, you need a huge volume of data, even after cleaning data. Big companies with great amounts of available data use their...