Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, ... Learning Engineer (ML) — Advanced Path) - Softcover

Moscato, Rosario

9788197953491: Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, ... Learning Engineer (ML) — Advanced Path)

Softcover

ISBN 10: 819795349X ISBN 13: 9788197953491

Publisher: Orange Education Pvt Ltd, 2024

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Learn how to harness the power of ChatGPT to streamline data analysis, accelerate model development, and unlock innovative solutions to real-world problems.

Unlock a new level of productivity in AI with ChatGPT and Google Colab for machine learning workflows. This friendly, practical book walks you through automating AI workflows with Python and Colab, streamlining data analysis, and building robust models—faster than ever.

Book Description

Unlock 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.

What You’ll Learn Inside:

Hands-on, step-by-step machine learning with free ChatGPT version and Python AI workflow examples
How to streamline model development with Google Colab for interactive data science projects and accelerated ML pipelines
Simple, effective methods for data preparation and manipulation for machine learning tasks, handling missing values, and outlier treatment
Comprehensive coverage of sentiment analysis and predictive analytics in Python
Guidance for automated regression classification, NLP model evaluation, and real-world applications
Best practices for training data analysis, ML pipeline automation, and collaborating with Colab notebooks
Interactive, real-world NLP projects and tips for data analysis and model fine-tuning using Colab

Who Should Read This Book?

Beginners and experienced data scientists seeking an accessible Google Colab book and ChatGPT machine learning guide
Professionals and students interested in interactive data science for accelerated project delivery
Anyone wanting practical skills with Python AI workflow and ML pipeline automation

Why This Guide?

All content aligns with your listing and provides data preparation tools and best practices—no prohibited brands or characters
Everything is accurate, policy-compliant, and designed for both higher discoverability and genuine user value

Fast-track your machine learning journey—discover the power of ChatGPT and Google Colab today!

Table of Contents
1. Introduction to ChatGPT
2. ChatGPT for Data Science and Machine Learning
3. Fundamentals of Statistics for Data Science
4. Missing Values and Outliers
5. Relation Between Variables and Charts
6. Data Preparation
7. Training and Evaluation
8. Fine Tuning, Features Selection, and Final Model
9. Data Preparation and Training
10. Fine Tuning and Final Model
11. Data Analysis and Dataset Manipulation (NLP)
12. Sentiment Analysis and Predictions
13. ChatGPT-4 for a Completely Automated Data Science Workload
14. Customizing GPT for Applications
15. Takeaways and Conclusions
Index

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