Requirements: .ePUB reader, 30.3 MB
Overview: This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in Data Science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of Machine Learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text. The Chapter 1 introduces you to Pandas and provides code samples that illustrate some of its useful features. If you are familiar with these topics, skim through the material and peruse the code samples, just in case they contain information that is new to you. The first part contains a brief introduction to Pandas. This section contains code samples that illustrate some features of Pandas DataFrames and a brief discussion of series, which are two of the main features of Pandas.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://ouo.io/TXJ5dM
https://katfile.com/mux5ai2l7u5m/Python … .epub.html.
