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{ "item_title" : "Practical Machine Learning Projects", "item_author" : [" Greyson Chesterfield "], "item_description" : "Practical Machine Learning Projects - End-to-End AI Solutions with Python is your ultimate guide to mastering machine learning by building fully functional, real-world applications. Whether you're a data enthusiast, software developer, or aspiring AI engineer, this hands-on book bridges the gap between theory and practice with project-based learning that delivers immediate, practical value.Dive into a curated collection of industry-grade projects that cover the entire machine learning lifecycle-from data preprocessing and feature engineering to model deployment and performance tuning. You'll learn to solve real business problems using Python and powerful libraries like scikit-learn, TensorFlow, XGBoost, and more.Inside, you'll build solutions such as: Predictive analytics for sales and demand forecastingImage classification using deep learning and CNNsNatural language processing for sentiment and topic modelingRecommender systems for personalized user experiencesAnomaly detection in finance and cybersecurityEnd-to-end ML pipelines with Flask, FastAPI, and cloud deploymentEach chapter is a self-contained project designed to teach you best practices in data handling, model selection, evaluation metrics, and model interpretability. You'll also learn how to integrate your models into real applications, deploy them to the web, and monitor them in production environments.Key Features: 10+ real-world ML projects with step-by-step instructionsCovers both classical ML and modern deep learning techniquesScalable and reproducible code examplesGuidance on model deployment, MLOps, and CI/CD pipelinesPerfect for intermediate Python users aiming to go pro in AIWhether you're preparing for a career in data science or looking to level up your machine learning portfolio, this book provides everything you need to turn ideas into impactful AI solutions.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/829/184/9798291847466_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Practical Machine Learning Projects|Greyson Chesterfield

Practical Machine Learning Projects : End-to-End AI Solutions with Python

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Overview

Practical Machine Learning Projects - End-to-End AI Solutions with Python is your ultimate guide to mastering machine learning by building fully functional, real-world applications. Whether you're a data enthusiast, software developer, or aspiring AI engineer, this hands-on book bridges the gap between theory and practice with project-based learning that delivers immediate, practical value.

Dive into a curated collection of industry-grade projects that cover the entire machine learning lifecycle-from data preprocessing and feature engineering to model deployment and performance tuning. You'll learn to solve real business problems using Python and powerful libraries like scikit-learn, TensorFlow, XGBoost, and more.

Inside, you'll build solutions such as:

  • Predictive analytics for sales and demand forecasting

  • Image classification using deep learning and CNNs

  • Natural language processing for sentiment and topic modeling

  • Recommender systems for personalized user experiences

  • Anomaly detection in finance and cybersecurity

  • End-to-end ML pipelines with Flask, FastAPI, and cloud deployment

Each chapter is a self-contained project designed to teach you best practices in data handling, model selection, evaluation metrics, and model interpretability. You'll also learn how to integrate your models into real applications, deploy them to the web, and monitor them in production environments.

Key Features:

  • 10+ real-world ML projects with step-by-step instructions

  • Covers both classical ML and modern deep learning techniques

  • Scalable and reproducible code examples

  • Guidance on model deployment, MLOps, and CI/CD pipelines

  • Perfect for intermediate Python users aiming to go pro in AI

Whether you're preparing for a career in data science or looking to level up your machine learning portfolio, this book provides everything you need to turn ideas into impactful AI solutions.

This item is Non-Returnable

Details

  • ISBN-13: 9798291847466
  • ISBN-10: 9798291847466
  • Publisher: Independently Published
  • Publish Date: August 2025
  • Dimensions: 9 x 6 x 0.38 inches
  • Shipping Weight: 0.54 pounds
  • Page Count: 178

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