Mastering ChatGPT and Google Colab for Machine Learning

Learn how to harness the power of ChatGPT to streamline data analysis accelerate model development and unlock innovative solutions to real-world problems.Key Features? Step-by-step progression from foundational machine learning concepts to advanced techniques using ChatGPT and Google Colab.? Clear and detailed instructions for data preparation model training and evaluation simplifying complex machine learning tasks.? Extensive use of Google Colab for coding and experimentation providing a real-world platform to apply learned techniques effectively.Book DescriptionUnlock the future of machine learning by mastering Google Colab trusted by over 5 million data scientists and ChatGPT powering 100 million users worldwide. This book bridges the latest in AI with practical hands-on applications for data science.With these game-changing tools at your command you’ll be able to streamline complex workflows automate tedious tasks and propel your AI skills to new heights—making machine learning faster smarter and more accessible than ever before.Each chapter unfolds a specific aspect of data science and machine learning seamlessly integrated with ChatGPT’s free version capabilities. The foundational chapters introduce key machine learning concepts while advanced sections explore topics such as natural language processing sentiment analysis and predictive analytics—all illustrated with real-world examples and interactive exercises. The later chapters focus on optimizing tasks using the more powerful paid version of ChatGPT culminating in the creation of a custom GPT named “Data Scientist” to tackle specialized challenges.Additionally the book includes a section on best practices expert tips and interview questions making it a comprehensive resource for aspiring data scientists and seasoned professionals alike.What you will learn? Learn to integrate and optimize ChatGPT and Google Colab for enhanced data science tasks.? Master techniques for preparing and cleaning data for analysis.? Gain a solid grasp of statistical concepts essential for data science.? Learn the processes for training evaluating and refining machine learning models.? Perform data analysis and preprocessing using natural language processing techniques.Table of Contents1. Introduction to ChatGPT2. ChatGPT for Data Science and Machine Learning3. Fundamentals of Statistics for Data Science4. Missing Values and Outliers5. Relation Between Variables and Charts6. Data Preparation7. Training and Evaluation8. Fine Tuning Features Selection and Final Model9. Data Preparation and Training10. Fine Tuning and Final Model11. Data Analysis and Dataset Manipulation (NLP)12. Sentiment Analysis and Predictions13. ChatGPT-4 for a Completely Automated Data Science Workload14. Customizing GPT for Applications15. Takeaways and ConclusionsIndexAbout the AuthorsRosario Moscato holds a master’s degree in electronic engineering from Federico II University in Naples and a master’s degree in internet software design from CEFRIEL in Milan. Additionally he has a diploma in apologetics and a master’s degree in science and faith from the Pontifical Athenaeum Regina Apostolorum in Rome. With nearly 25 years of experience Rosario has always focused on the development and fine-tuning of the most innovative technologies across various international companies in Europe and Asia covering various highly technical commercial and business development roles.