9798288036279 - Data Science Real-Life Data Science Exercises Included: Comprehensive guide to data science with practical exercises de Greystone, Elian (4 resultados)

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Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.