This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using Chat GPT-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 k NN to SVMs. Later chapters cover GPT-4’s capabilities, enhancing linear regression analysis, and using Chat GPT 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 Chat GPT 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 Chat GPT-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.