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Item #:
277220400
Hands-On AI Development with Python: Build and Deploy Real-World AI, Machine Learning, Deep Learning, and NLP Applications
Item #:
277220400
SAR 205
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What Stands Out
Comprehensive Curriculum
Covers essential topics in AI, machine learning, deep learning, and NLP, providing a thorough understanding for beginners and experienced developers alike.
Practical Applications
Focuses on building and deploying real-world applications, helping learners apply theoretical knowledge to practical scenarios effectively.
Python Emphasis
Utilizes Python, a leading programming language in AI development, ensuring learners gain valuable skills that are directly applicable in the industry.
Product Details
- Build real-world AI projects with Python, pandas, NumPy, Matplotlib, Seaborn, scikit-learn, NLP, neural networks, sentiment analysis, and web deployment as you move from first code to portfolio-ready AI apps and skills.Key FeaturesBuild portfolio-ready AI projects with Python, data analysis, ML, NLP, and deploymentUse pandas, NumPy, Matplotlib, Seaborn, scikit-learn, and neural networks on real datasetsMove from zero programming to practical AI workflows through guided, hands-on projectsBook DescriptionMany beginners learn Python syntax or AI theory but struggle to build projects they can explain, demonstrate, and add to a portfolio. This book closes that gap by turning AI fundamentals into practical Python projects that move from first code to working AI deployment.You will begin with Python setup and the foundations needed for AI development, including variables, data types, functions, control flow, and libraries. You will then use NumPy and pandas to load, clean, transform, and inspect datasets, before applying EDA with Matplotlib and Seaborn to uncover patterns, relationships, and missing values. With these foundations in place, you will build machine learning models using scikit-learn. You will work through prediction and classification workflows, prepare features, train models, evaluate results, and understand how choices affect accuracy and usefulness. The book introduces neural networks in a beginner-friendly way, showing how layers, training, and performance connect in applied AI work.You will create an NLP sentiment analysis project, turning text into features and classifying opinions. Finally, you will package a trained model as a web service used beyond a notebook. By the end, you will have a practical AI portfolio and a strong foundation for machine learning, data science, and applied AI development.What you will learnSet up Python for hands-on AI and machine learning projectsUse core syntax, data types, control flow, functions, and libraries for AI workClean, transform, analyze, and visualize data with NumPy, pandas, Matplotlib, and SeabornApply EDA to find patterns, missing values, relationships, and featuresBuild prediction and classification models using scikit-learn workflowsUnderstand neural network basics and practical deep learning conceptsCreate an NLP sentiment analysis model from text dataDeploy a trained AI model as a web serviceWho this book is forThis book is for absolute beginners, students, career changers, junior developers, analysts, data enthusiasts, and hobbyists who want a practical entry point into AI development. It is useful for readers building their first AI portfolio, exploring machine learning or data science roles, or learning how trained models become simple applications. No prior programming or AI experience is required.Table of ContentsPython for AI and Data Science FoundationsMachine Learning and Classification ModelsNeural Networks and Natural Language ProcessingDeploying an AI Model as a Web ServiceSupervised Learning and Forecasting ProjectsVision, Language, Recommendations and AI Projects
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Aspiring Developers
Perfect for individuals eager to start a career in AI development through practical Python applications.
-
Data Practitioners
Ideal for data scientists and analysts seeking to enhance their skills in machine learning and NLP using Python.
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Students
Students in computer science or related fields will benefit from hands-on projects and real-world application insights.
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Beginner Programmers
Not suited for those with no prior programming experience, as foundational coding knowledge is crucial for understanding.
Product Description
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