Data Science From Scratch: First Principles With Python

Data Science From Scratch: First Principles With Python

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Data Science Libraries, Frameworks, Modules, And Toolkits Are Great For Doing Data Science, But Theyre Also A Good Way To Dive Into The Discipline Without Actually Understanding Data Science. In This Book, Youll Learn How Many Of The Most Fundamental Data Science 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 Hacking Skills You Need To Get Started As A Data Scientist. Todays Messy Glut Of Data Holds Answers To Questions No Ones Even Thought To Ask. This Book Provides You With The Knowhow To Dig Those Answers Out. Get A Crash Course In Python Learn The Basics Of Linear Algebra, Statistics, And Probabilityand Understand 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 Knearest Neighbors, Naive Bayes, Linear And Logistic Regression, Decision Trees, Neural Networks, And Clustering Explore Recommender Systems, Natural Language Processing, Network Analysis, Mapreduce, And Databases

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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