ML & AI

Machine Learning

Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models wchich enable computers to learn from and make predictions or decisions based on data. Python provides several libraries that are commonly used for machine learning tasks, such as scikit-learn, Keras or TensorFlow.
Fundamental steps of machine learning is data preprocessing, including: cleaning, transforming, and normalizing the data to make it suitable for analysis. It means in practice handling missing values, encoding categorical variables and scaling numerical features. Libraries in Python: pandas and NumPy provide efficient and convenient functions for data manipulation and preprocessing.