Название: Data Science Bookcamp: Ten Python projects
Автор: L. Apeltsin
Издательство: Manning Publications
Год: 2020
Формат: True (PDF, EPUB, MOBI) + Code
Страниц: 247
Размер: 25,6 Mb
Язык: English
Learn data science with Python by building 10 real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.
About the Technology
In real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers.
About the book
Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets 10 increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real-world. As you solve each challenge, you’ll acquire and expand the data science and Python skills you’ll use as a professional data scientist. Ranging from text processing to machine learning, each project comes complete with a unique downloadable data set and a fully-explained step-by-step solution. Because these projects come from Dr. Apelstin’s vast experience, each solution highlights the most likely failure points along with practical advice for getting past unexpected pitfalls. When you wrap up these 10 awesome exercises, you’ll have a diverse relevant skill set that’s transferable to working in industry.
What's inside
10 in-depth Python exercises with full downloadable data sets
Web scraping for text and images
Organise data sets with clustering algorithms
Visualize complex multi-variable datasets
Train a decision tree machine learning algorithm