This second course in the Machine Learning series aims to help you start your practical journey. Learn Python fundamentals and the amazing Pandas data science library to load large datasets. You will also learn how to use the JupyterLab tool for Jupiter notebooks, perform data analysis and exploration, perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms. Each section has a summary exercise as well as a complete solution to practice new knowledge.
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