Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Paperback >
/ Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Paperback

Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Paperback

Regular price$74.86
/
(Tax included. Shipping calculated at checkout.)
✔ Authenticity Guaranteed — Verified Designer Goods
✔ 100% Money-Back Guarantee on Eligible Items
✔ Prices Displayed in Your Local Currency
✔ Final Price = No Surprise Import Fees
✔ Complimentary Insured Worldwide Shipping on Qualifying Orders
✔ Select Collector & Specialty Pieces May Require Secured Delivery Handling
Our authentication process ensures every item meets strict luxury verification standards. Learn more
Complimentary worldwide shipping on qualifying orders

by Michael Walker (Author)

Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.

Key Features:

- Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models

- Use new and updated AI tools and techniques for data cleaning tasks

- Clean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AI

Book Description:

Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook will show you tools and techniques for cleaning and handling data with Python for better outcomes.

Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. The current edition emphasizes advanced techniques like machine learning and AI-specific approaches and tools to data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI and NLP models You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you'll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data.

By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.

What You Will Learn:

- Using OpenAI tools for various data cleaning tasks

- Produce summaries of the attributes of datasets, columns, and rows

- Anticipating Data Cleaning Issues when Importing Tabular Data into Pandas

- Apply validation techniques for imported tabular data

- Improve your productivity in Python pandas by using method chaining

- Recognize and resolve common issues like dates and IDs

- Set up indexes to streamline data issue identification

- Use data cleaning to prepare your data for ML and AI models

Who this book is for:

This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples.

Working knowledge of Python programming is all you need to get the most out of the book.

Number of Pages: 486
Dimensions: 0.98 x 9.25 x 7.5 IN
Publication Date: May 31, 2024
  • In stock, ready to ship
  • Backordered, shipping soon
Shop with Confidence
  • ✔ Authenticity Guaranteed — Verified Designer Goods
  • ✔ Sourced from Authorized European/U.S. Luxury Distributors
  • ✔ Secure Checkout — SSL Encrypted Payments
  • ✔ Fast Global Delivery — 3–11 Business Days
  • ✔ Easy Returns on Eligible Items
  • ✔ 100% Money-Back Guarantee — Full Refund if Not Satisfied
Verified Trust Rating: 91/100
Amazon American Express Apple Pay Bancontact Diners Club Discover Google Pay Mastercard PayPal Shop Pay USDC Visa SSL Secure
Amazon Pay Logo Fast checkout with Amazon Pay. Use your Amazon account to skip entering shipping or card info.
Trusted by discerning buyers worldwide — secure, verified luxury sourcing

AUTHENTICITY GUARANTEED

Reserved for you — complete your purchase to secure this piece.

Authorized Designer Inventory Secure & Encrypted Checkout Tracked & Insured Delivery

OFFICIALLY AUTHORIZED RESELLER

Discover Officially Authorized Authentic Items at STORE7994.com - Certificates Available on Request!

Independently verified for store quality and customer safety.
Trust score: 91/100

All designer items offered by STORE 7994 are sourced from trusted luxury distributors and verified through independent authentication services.

Learn how STORE 7994 authenticates luxury items

Guaranteed Authentic — Includes Brand Documentation & Third-Party Verification Options.

Shipping information

  • Free Shipping* on all orders over $300 USD to most countries* Estimated delivery: 2-5 business days Mon-Sat to U.S., CA, EU etc.
  • Tracking available: DHL Express
  • Store 7994 Shipping policy
  • Global delivery in 3–9 business days (location dependent).
  • Free Worldwide Shipping $300+. International duties & VAT are calculated by destination country and may be collected upon delivery. UK orders are subject to 20% import VAT upon delivery.

Our innovation isn’t just in the brands we carry — it’s in the way we connect them. From our automation engine that keeps collections globally updated to our commitment to authenticity-first presentation, STORE 7994 exists where timeless design meets modern precision.

Every product we offer is:
Elevated · Intentional · Exclusive · Authentic

STORE 7994 is an authorized reseller of luxury fashion houses. Certificates and proof of authenticity are available to brand owners and partners upon request.

This site is protected by hCaptcha and the hCaptcha Privacy Policy and Terms of Service apply.

Returns & Refunds

We want you to shop with confidence at STORE 7994. If your purchase does not meet expectations, eligible items may be returned under the conditions below.

Return Eligibility
Items must be unused, unworn, and in original condition with all tags, packaging, and accessories included. Items showing any signs of wear or damage will not be accepted.

Return Window
Return requests must be made within 14 days of delivery.

Return Shipping
Customers are responsible for return shipping costs unless the item is defective, damaged, or incorrect.

Luxury Items
Items valued over $1,000 may be subject to a 7% restocking fee upon approved return.

Non-Returnable Items
For hygiene and product integrity reasons, the following items are final sale once opened or used:

• Underwear
• Fragrances
• Any worn or used items

Made-to-Order Items
Custom-designed products, including STORE 7994 hoodies, are made exclusively for each customer and are final sale. These items are not eligible for return or exchange unless defective or incorrect.

If you receive a defective or incorrect item, please contact us and we will make it right.

International Shipping & Duties
Many of our products ship directly from trusted international partners. Any applicable customs duties or import taxes are calculated at checkout and are non-refundable, even if the item is returned.

Returns & Associated Fees
All approved returns are subject to a $24 return processing fee. For international orders, duties, taxes, and return fees will be deducted from the original payment.

Shipping Policy
Complimentary shipping is offered on orders over $300. Orders below this threshold are subject to standard shipping rates at checkout.