Learn Python 3, machine learning, and data visualization with ChatGPT/GPT-4. Enhance your data science skills with practical tutorials and real-world applications.Key FeaturesComprehensive coverage of Python librariesPractical applications with real dataC
Learn Python 3, machine learning, and data visualization with ChatGPT/GPT-4. Enhance your data science skills with practical tutorials and real-world applications.Key FeaturesComprehensive coverage of Python librariesPractical applications with real dataCompanion files with source code and datasets availableBook DescriptionThis book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E. The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable. Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.What you will learnMaster data manipulation with PandasImplement various Machine Learning algorithmsUtilize GPT-4 for regression analysisCreate advanced visualizationsApply ChatGPT in data scienceUnderstand clustering techniquesWho this book is forThis book is ideal for students, data scientists, and AI researchers who want to deepen their understanding and enhance their skills in Python programming, data visualization, and machine learning. Basic knowledge of Python and data science is recommended.]]>
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