Data Analysis and Machine Learning

    Course Code: 
    8184
    Semester: 
    6th
    Specialization Courses

    Course Content

    • Data Processing and Cleaning
    • Data Analysis
    • Data Visualization
    • Statistical Analysis, Statistical Significance, Statistical Power
    • Machine Learning Methods and Models (supervised and unsupervised)
    • Machine Learning Model Evaluation
    • Hyperparameter Optimization
    • Machine Learning Operations Workflow (MLOps)

    Learning outcomes

    The course aims to provide a broad coverage of the field of Data Analytics and Machine Learning, through an applied approach using the Python language. Students will meet all stages related to Business Analytics and Machine Learning, from data cleaning and processing, to visualization, applied statistics, Machine Learning models, their evaluation, and their optimization, to issues of production flow of Machine Learning application processes and services. The broad coverage seeks to provide students with a comprehensive understanding of the subject, so that they can choose the most appropriate tool for each job, depending on the requirements.

    This course follows and complements the 7th semester course “Modern Trends in Artificial Intelligence”.