Applied Machine Learning Solutions with Python

A problem-focused guide for tackling industrial machine learning issues with methods and frameworks chosen by experts. Key Features ● Popular techniques for problem formulation, data collection, and data cleaning in machine learning. ● Comprehensive and useful machine learning tools such as MLFlow, Streamlit, and many more. ● Covers numerous machine learning libraries, including Tensorflow, FastAI, Scikit-Learn, Pandas, and Numpy. This book discusses how to apply machine learning to real-world p