Overview

Learn Data Science from Scratch equips you with the essential tools and techniques, from Python libraries to machine learning algorithms, to tackle real-world problems and make informed decisions. This book provides a thorough exploration of essential data science concepts, tools, and techniques. Starting with the fundamentals of data science, you will progress through data collection, web scraping, data exploration and visualization, and data cleaning and pre-processing. You will build the required foundation in statistics and probability before diving into machine learning algorithms, deep learning, natural language processing, recommender systems, and data storage systems. With hands-on examples and practical advice, each chapter offers valuable insights and key takeaways, empowering you to master the art of data-driven decision making.

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Pratheerth Padman is a data scientist who entered the field after an eclectic mix of educational and work experiences, including a stint as a production engineer in an Aluminium Extrusion Company in the Middle East. When his fascination with AI began, he dropped everything to dedicate his life to the field.

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