Data Science from Scratch: First Principles with Python PDF Free Download
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with New material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.
- Get a crash course in Python
- Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science
- Collect, explore, clean, munge, and manipulate data
- Dive into the fundamentals of machine learning
- Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering
- Explore recommender systems, natural language processing, network analysis, MapReduce, and databases.
From the Publisher
What You Need to Know about Data Mining and Data-Analytic Thinking
First Principles with Python
Straight Talk from the Frontline
Visualize, Model, Transform, Tidy, and Import Data
Facing the Future with Time-Tested Tools
Tools and Techniques for Developers
Publisher:O’Reilly Media; 2nd edition (May 16, 2019)
Item Weight:1.4 pounds
Dimensions:6.9 x 0.9 x 9.1 inches
Download Data Science from Scratch Pdf Free:
You can easily download Data Science from Scratch PDF by clicking the link given below. If the PDF link is not responding, kindly inform us through comment section. We will fixed it soon.
“ NOTE: We do not own copyrights to these books. We’re sharing this material with our audience ONLY for educational purpose. We highly encourage our visitors to purchase original books from the respected publishers. If someone with copyrights wants us to remove this content, If you feel that we have violated your copyrights, then please contact us immediately. please contact us. or Email: [email protected]“