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

Greystone, Elian

Couverture souple

ISBN 13 : 9798288036279

Editeur : Independently published, 2025

Synopsis

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.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798288036279
• Reliure: Broché
• Nombre de pages: 184
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg