Data management methods, such as reducing, transforming, and creating new information to provide more meaningful input.
What are missing values in machine learning? Missing values in a dataset indicate the absence of observations. The danger of missing values Why are missing values a problem for our job? Missing values bring mainly 2 problems: Types of missing…
What are categorical features – recap In categorical features, measurements can assimilate a number of limited and fixed values, called “categories“. There are 2 types of categorical features: Why can’t most ML models deal with categorical values? Artificial intelligence models…
What is feature engineering? Feature engineering is selecting, extracting, and transforming features from raw data to create a new dataset useful for building predictive models. This new dataset is compatible with our algorithm and provides the model with more valuable…
In machine learning, we can identify data as a set of observations or measurements, called dataset, used to train and test a machine learning model. Data are crucial because artificial intelligence is built on them, and their quantity and quality…