1 1

Practical Python Machine Learning: Data Analysis for Problem Solving

Practical Python Machine Learning: Data Analysis for Problem Solving

✓ Free tracked shipping to the US, Canada, UK, Europe, Australia & New Zealand.

$80.99 USD
$80.99 USD
Sale Sold out
Free tracked shipping

Practical Python Machine Learning: Data Analysis for Problem Solving

Dive into the world of practical data science with 'Practical Python Machine Learning: Data Analysis for Problem Solving'. This essential textbook from Shoeisha provides a comprehensive introduction to Python-based machine learning, focusing on fundamental data analysis techniques geared towards real-world problem-solving. Readers will gain practical skills to tackle challenges using Python, making complex concepts accessible for beginners and intermediate learners alike. Note: The text is entirely in Japanese. Brand New Japanese Edition.

ISBN 9784798163406 · ISBN-10 4798163406

View full details

Add a treat to your parcel

1 12
View all

Collapsible content

Shipping & delivery

Free tracked shipping on every order to the US, Canada, the UK, Europe, Australia and New Zealand — and adding more items never costs extra shipping. Orders are dispatched within 1–3 business days of availability (some items are sourced in Japan after you order), and most arrive within 4–12 business days of your order, depending on destination. Some items ship from our U.S. fulfillment partner. For U.S. orders, import duties and taxes are collected at checkout, so there is nothing to pay on delivery.

Authentic, sourced in Japan

Every item is genuine and sourced in Japan. Items are new unless the title says used. For books, we show the ISBN so you can confirm the exact edition.

Returns

Returns are accepted within 30 days of delivery. If an item arrives damaged, defective, or not as described, we pay for the return or refund you in full; for other returns, the customer pays the return shipping. Opened food and beverages and opened personal care products cannot be returned unless they arrived damaged, defective, or incorrect. See our Refund Policy for full details.