Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn
(as of Jul 20,2022 20:03:35 UTC – Details)
From the Publisher
About Data Science Projects with Python
Data Science Projects with Python is a hands-on introduction to real-world data science. You’ll take an active approach to learning by following real case studies that elegantly tie together mathematics and code.
You’ll start by learning how to examine, extract and present insights from your own data with tools like pandas and Matplotlib. You’ll build upon these skills as you start feeding data into machine learning algorithms with sci-kit learn, tuning them individually as you learn how they make their predictions.
Data Science Projects with Python is ideal if you’re looking for guidance on industry-standard data analysis and machine learning tools. You’ll learn how to navigate your own unstructured data, extracting meaningful insights along the way.
Key Features Ideal introduction to data science for those already familiar with foundational Python Full of practical step-by-step exercises, activities and solutions Structured to let you pause and progress learning on your terms
Learn Real-World Data Science
Real-World Exercises and Activities
You’ll complete step-by-step exercises that build practical, hands-on skills. Activities then challenge you to apply and extend your new abilities. It’s a proven structure that’s designed to hack your brain and embed your learning.
Learning On Your Terms
It can be tough to manage learning around your existing commitments. With a structure that lets you pick up and progress at your own pace, you’re far more likely to reach your goal. It’s time to take back control of your schedule.
Developed by Trusted Experts
Every project brings together a team of expert authors, instructors, and technical editors. You’ll find step-by-step guidance from start to finish, complete with worked solutions. You won’t ever be stuck with an example that doesn’t compile.
Publisher : Packt Publishing (April 30, 2019)
Language : English
Paperback : 374 pages
ISBN-10 : 1838551026
ISBN-13 : 978-1838551025
Item Weight : 1.41 pounds
Dimensions : 7.5 x 0.85 x 9.25 inches