Bokdetaljer
Format
Pocketbok
Sidor
288
Språk
Engelska
Publicerad
Feb 29, 2016
Förlag
Packt Pub Ltd
ISBN-10
1785286315
ISBN-13
9781785286315
Beskrivning
In the realm of data science, regression analysis serves as a vital tool for uncovering the intricate relationships between variables. This engaging guide, authored by Luca Massaron and Alberto Boschetti, delves into the art of regression analysis using Python, catering to those eager to master this essential technique. The authors skillfully unravel complex concepts, making them accessible to both beginners and seasoned practitioners.
Through a practical approach, the book showcases the power of Python in effectively conducting regression analysis. Rich with examples, readers are encouraged to apply their knowledge in real-world scenarios, enhancing their understanding of how inputs influence continuous outputs. The narrative is designed to foster critical thinking, enabling readers to analyze their data and draw meaningful insights.
As readers journey through the chapters, they will not only learn the theoretical foundations of regression but also the hands-on skills necessary to implement these principles in their projects. By the end, they will emerge equipped to tackle various challenges in data analysis, ready to transform their findings into actionable strategies.
Through a practical approach, the book showcases the power of Python in effectively conducting regression analysis. Rich with examples, readers are encouraged to apply their knowledge in real-world scenarios, enhancing their understanding of how inputs influence continuous outputs. The narrative is designed to foster critical thinking, enabling readers to analyze their data and draw meaningful insights.
As readers journey through the chapters, they will not only learn the theoretical foundations of regression but also the hands-on skills necessary to implement these principles in their projects. By the end, they will emerge equipped to tackle various challenges in data analysis, ready to transform their findings into actionable strategies.
Genrer
Vetenskap & Teknik
Affärer & Ekonomi