Free download Data Science Bookcamp: Ten Python projects by Leonard Apeltsin. Published by Manning. English | 247 Pages | True (PDF + EPUB, MOBI), CODE Files | ISBN: 9781617296253
Description of Data Science Bookcamp
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.
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.
It include
- 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