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{ "item_title" : "Data Science Real-Life Data Science Exercises Included", "item_author" : [" Elian Greystone "], "item_description" : "Learn Data Science by Doing - Real-World Projects, Practical Exercises, and Essential TheoryReady to go beyond the buzzwords and actually apply data science in real-world settings? This hands-on guide is your gateway to mastering the tools, concepts, and mindset of a professional data scientist - even if you're just starting out.From data wrangling and exploratory analysis to machine learning and model evaluation, this book offers a complete roadmap - plus practical exercises and real datasets to help you solidify your understanding through action.What You'll Learn: ✅ Foundations of data science and the data lifecycle✅ Data collection, cleaning, and preprocessing techniques✅ Exploratory data analysis (EDA) using Pandas, NumPy, and Matplotlib✅ Feature engineering and selection✅ Supervised and unsupervised machine learning models✅ Real-world exercises using classification, regression, clustering✅ Model evaluation, tuning, and deployment basics✅ Python-based workflows with Scikit-learn, Jupyter, and more✅ Working with real datasets: sales data, customer data, medical records, and more✅ Tips for building a data science portfolio for interviews and freelancingWhether you're transitioning into data science, studying for interviews, or looking to strengthen your practical skills - this book ensures you learn by doing, not just reading.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/828/803/9798288036279_b.jpg", "price_data" : { "retail_price" : "16.99", "online_price" : "16.99", "our_price" : "16.99", "club_price" : "16.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Science Real-Life Data Science Exercises Included|Elian Greystone

Data Science Real-Life Data Science Exercises Included : Comprehensive guide to data science with practical exercises

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Overview

Learn Data Science by Doing - Real-World Projects, Practical Exercises, and Essential Theory

Ready to go beyond the buzzwords and actually apply data science in real-world settings? This hands-on guide is your gateway to mastering the tools, concepts, and mindset of a professional data scientist - even if you're just starting out.

From data wrangling and exploratory analysis to machine learning and model evaluation, this book offers a complete roadmap - plus practical exercises and real datasets to help you solidify your understanding through action.


What You'll Learn:

✅ Foundations of data science and the data lifecycle
✅ Data collection, cleaning, and preprocessing techniques
✅ Exploratory data analysis (EDA) using Pandas, NumPy, and Matplotlib
✅ Feature engineering and selection
✅ Supervised and unsupervised machine learning models
✅ Real-world exercises using classification, regression, clustering
✅ Model evaluation, tuning, and deployment basics
✅ Python-based workflows with Scikit-learn, Jupyter, and more
✅ Working with real datasets: sales data, customer data, medical records, and more
✅ Tips for building a data science portfolio for interviews and freelancing

Whether you're transitioning into data science, studying for interviews, or looking to strengthen your practical skills - this book ensures you learn by doing, not just reading.

This item is Non-Returnable

Details

  • ISBN-13: 9798288036279
  • ISBN-10: 9798288036279
  • Publisher: Independently Published
  • Publish Date: June 2025
  • Dimensions: 9 x 6 x 0.4 inches
  • Shipping Weight: 0.56 pounds
  • Page Count: 186

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