Book description
- Prepare for a career in data science
- Work with complex data structures in Python
- Simulate with Monte Carlo and Stochastic algorithms
- Apply linear algebra using vectors and matrices
- Utilize complex algorithms such as gradient descent and principal component analysis
- Wrangle, cleanse, visualize, and problem solve with data
- Use MongoDB and JSON to work with data
Product information
- Title: Data Science Fundamentals for Python and MongoDB
- Author(s):
- Release date: May 2018
- Publisher(s): Apress
- ISBN: 9781484235973
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