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  Introduction Python is a popular programming language that has gained immense popularity in the field of data science. It is an open-source language that is easy to learn and has a vast community of developers. If you are a novice in Python and want to learn more about data science, then you are in the right place. In this blog, we will discuss how you can become an ML pro from a Python novice. Firstly, let’s understand what data science is. Data science is a field that involves the extraction of insights from data. It is a multidisciplinary field that includes statistics, machine learning, and computer science. Data science is used in various industries such as healthcare, finance, and e-commerce. Python is a popular language for data science because of its simplicity and ease of use. It has a vast collection of libraries that make it easy to perform data analysis and machine learning. Some of the popular libraries for data science in Python are NumPy, Pandas, Matplotlib, and Seabo

  Introduction Data Science has become an integral part of various industries, driving insights and decisions with data-driven approaches . To embark on your journey to become a Data Science mastermind , we present the ultimate 2023 masterclass in Python . In this comprehensive guide, you'll learn the key concepts, tools, and techniques that will empower you to navigate the world of data science with confidence . Chapter 1: The Foundation - Python for Data Science Python is the go-to language for data scientists due to its versatility and an array of powerful libraries . This chapter covers the fundamental aspects of Python relevant to data science. Getting Started with Python Explore Python's basic syntax, data types, and control structures. Essential Libraries Introduction to essential libraries like NumPy, Pandas, and Matplotlib, which are the building blocks of data manipulation and visualization . Chapter 2: Data Wrangling and Cleaning High-quality data is the bedrock of