Data Science Fundamentals for Python and MongoDB

Data Science Fundamentals for Python and MongoDB
Author :
Publisher : Apress
Total Pages : 221
Release :
ISBN-10 : 9781484235973
ISBN-13 : 1484235975
Rating : 4/5 (975 Downloads)

Book Synopsis Data Science Fundamentals for Python and MongoDB by : David Paper

Download or read book Data Science Fundamentals for Python and MongoDB written by David Paper and published by Apress. This book was released on 2018-05-10 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained. Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced. What You'll Learn 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 Who This Book Is For The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.


Data Science Fundamentals for Python and MongoDB Related Books

Data Science Fundamentals for Python and MongoDB
Language: en
Pages: 221
Authors: David Paper
Categories: Computers
Type: BOOK - Published: 2018-05-10 - Publisher: Apress

DOWNLOAD EBOOK

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides compl
Hands-on Scikit-Learn for Machine Learning Applications
Language: en
Pages: 247
Authors: David Paper
Categories: Computers
Type: BOOK - Published: 2019-11-16 - Publisher: Apress

DOWNLOAD EBOOK

Aspiring data science professionals can learn the Scikit-Learn library along with the fundamentals of machine learning with this book. The book combines the Ana
MongoDB and Python
Language: en
Pages: 67
Authors: Niall O'Higgins
Categories: Computers
Type: BOOK - Published: 2011-09-23 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fas
Fundamentals of Data Science
Language: en
Pages: 205
Authors: Mr.Desidi Narsimha Reddy
Categories: Computers
Type: BOOK - Published: 2024-09-05 - Publisher: Leilani Katie Publication

DOWNLOAD EBOOK

Mr.Desidi Narsimha Reddy, Data Consultant (Data Governance, Data Analytics: Enterprise Performance Management, AI & ML), Soniks consulting LLC, 101 E Park Blvd
Collecting Lives
Language: en
Pages: 239
Authors: Elizabeth Rodrigues
Categories: Literary Criticism
Type: BOOK - Published: 2022-05-16 - Publisher: University of Michigan Press

DOWNLOAD EBOOK

On a near-daily basis, data is being used to narrate our lives. Categorizing algorithms drawn from amassed personal data to assign narrative destinies to indivi