Sobre este e-book
The book covers essential Python programming concepts and gradually introduces core machine learning techniques including data preprocessing, supervised learning, unsupervised learning, regression, classification, clustering, model evaluation, and deep learning fundamentals. Readers will gain hands-on experience with popular Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow.
Inside this book, you will learn how to:
Build intelligent machine learning models using Python
Work with real-world datasets and data visualization
Understand regression, classification, and clustering algorithms
Perform data analysis and predictive modeling
Use Scikit-Learn and TensorFlow for AI applications
Create practical machine learning projects step by step
Improve model accuracy and performance techniques
Apply AI and automation in real-world scenarios
Whether you are starting your journey in Machine Learning or looking to strengthen your AI development skills, this book provides a practical and easy-to-understand approach to modern machine learning concepts using Python.
Perfect for:
Beginners and students
Data science enthusiasts
Python developers
AI and ML learners
Interview and project preparation
Start building smart AI-powered applications today with Python with Machine Learning.
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Sobre o autor
My name is Arvind Choudhary from India. I have Around 12 Years of experience as Developer and Corporate trainer in Java Full Stack, Python Full Stack, MERN Full Stack, Flutter, android and AI ML technologies.
