About this ebook
Starting with Python programming fundamentals, readers will learn how to leverage industry-standard libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras. The book then introduces core machine learning concepts, including data preprocessing, feature engineering, model training, evaluation, optimization, and deployment.
Through hands-on examples, practical exercises, and real-world projects, readers will gain the skills needed to analyze data, develop predictive models, automate tasks, and create intelligent systems capable of solving complex business and scientific problems.
Key Topics Covered
Python Programming Fundamentals
NumPy for Numerical Computing
Pandas for Data Analysis and Data Manipulation
Data Visualization with Matplotlib and Seaborn
Data Cleaning and Preprocessing Techniques
Exploratory Data Analysis (EDA)
Statistics for Machine Learning
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Classification and Regression Models
Clustering and Dimensionality Reduction
Model Evaluation and Performance Metrics
Feature Engineering and Selection
Deep Learning with TensorFlow and Keras
Machine Learning Project Development
Model Deployment and Best Practices
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About the author
Arvind Choudhary is an experienced Software Developer, Corporate Trainer, and Technology Mentor from India with around 12 years of professional experience in the IT industry. He has worked extensively for 8 years as a developer and 4 years as a corporate trainer, helping students, professionals, and organizations build strong technical skills in modern software technologies.
He specializes in Java Full Stack Development, Python Full Stack Development, MERN Stack, Flutter, Android Development, Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Agentic AI, AI Agents, and Android Firmware Development.
Throughout his career, Arvind Choudhary has trained and mentored numerous students and working professionals through live projects, practical implementation, industry-focused training, and real-world application development. His teaching approach focuses on simplifying complex technical concepts into easy-to-understand practical learning experiences.
As an author and trainer, he is passionate about sharing knowledge in emerging technologies including Generative AI, AI Automation, Prompt Engineering, Large Language Models (LLMs), and modern software engineering practices. His goal is to help learners become industry-ready developers and technology innovators.
Arvind Choudhary continues to contribute to the technology community through technical training, content creation, software development, and educational initiatives focused on next-generation technologies.
