In the continually evolving landscape of modern manufacturing, the fusion of data-driven insights, predictive analytics, and Machine Learning (ML) algorithms has emerged as a transformative and revolutionary force. This master's thesis embarks on an extensive journey through this field, delving deep into the intersection of ML algorithms and the principles of Industry 4.0. The focal point of this exploration lies in the analysis of manufacturing production data sourced from the proprietary software, Sandeza, utilized in some contemporary manufacturing operations. The thesis begins with an overview of the state-of-art of ML algorithms applied within the context of Industry 4.0. It analyzes their integration into manufacturing operations with a specific focus on classification and regression algorithms.