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Data Science Bookcamp, video edition
MP4 | Video: AVC 1280 x 720 | Audio: AAC 44 Khz 2ch | Duration: 18:10:34 | 6.44 GB
Genre: eLearning | Language: English
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Valuable and accessible… a solid foundation for anyone aspiring to be a data scientist.
Amaresh Rajasekharan, IBM Corporation
Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science.
In Data Science Bookcamp you will find
Techniques for computing and plotting probabilities
Statistical analysis using Scipy
How to organize datasets with clustering algorithms
How to visualize complex multi-variable datasets
How to train a decision tree machine learning algorithm
In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. 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
A data science project has a lot of moving parts, and it takes practice and skill to get all the code, algorithms, datasets, formats, and visualizations working together harmoniously. This unique book guides you through five realistic projects, including tracking disease outbreaks from news headlines, analyzing social networks, and finding relevant patterns in ad click data.
about the book
Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results.
about the audience
For readers who know the basics of Python. No prior data science or machine learning skills required.
about the author
Leonard Apeltsin is the Head of Data Science at Anomaly, where his team applies advanced analytics to uncover healthcare fraud, waste, and abuse.
Really good introduction of statistical data science concepts. A must-have for every beginner!
Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland
A full-fledged tutorial in data science including common Python libraries and language tricks!
Jean-François Morin, Laval University
This book is a complete package for understanding how the data science process works end to end.
Ayon Roy, Internshala
NARRATED BY JULIE BRIERLEY



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