Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visu
Data Science Fundamentals for Python and MongoDB
β Scribed by Paper, David
- Publisher
- Apress
- Year
- 2018
- Tongue
- English
- Series
- For professionals by professionals
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
1636: Hardcover, Softcover / Informatik, EDV/Datenkommunikation, Netzwerke;B;COM021000;COM051360;Data Cleansing;Data Science;Data Visualization;Data Wrangling;Gradient Descent;Heat Map;JSON;Linear Algebra;MongoDB;Monte Carlo Simulation;Normal Distribution;NoSQL;Paperback / softback;Python NumPy Library;Python Pandas Library;Randomness;SCI29080: Python;SCI29120: Big Data;Simulation;Stochastic Simulation;SUCO12059: Professional and Applied Computing;UMX;UN;Uniform Distribution;Vector and Matrix Ma
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<span><div>Build the foundational data science skills necessary to work with and better understand complex data science algorithms. ThisΒ example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples i
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visu
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the