Data Science With Python: A Comprehensive Guide

This book is a comprehensive introduction to data science with Python. It covers the core entities of data science, including Python, NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook. The book also explores the data ecosystem, including Anaconda and Google Colab, and provides an overview of data sources, machine learning algorithms, and data preprocessing techniques.

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