Introduction to Python for Data Science

Dive into a comprehensive workshop on Python for data science, covering essential techniques using popular open-source libraries like pandas and scikit-learn. Learn to cleanse data, perform exploratory analysis, and build predictive models with robust cross-validation using a real-world dataset. Designed for beginners with basic Python knowledge, explore data frames, high-level statistics, data relationships, and various plotting techniques. Master preprocessing steps, including handling missing values, and delve into modeling concepts. Benefit from the expertise of industry professionals as they guide you through practical applications of data science principles.