Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
O'Reilly Media (9781492035640)
O'Reilly Media (9781492035640)
(9781492024330 / 51402826) - Finance - Dimensions: 229 x 185 x 37 mm - Edition: 2nd Revised edition - Pages: 685 pages - ISBN: 9781492024330 - Number of pages: 685 - Publisher: O'Reilly Media, Inc, USA | Python for Finance
Master data cleaning in Python with hands‑on techniques for reading, transforming, and validating datasets, plus practical tips on handling missing values, duplicates, and schema inconsistencies.
Explore Python for Data Analysis, 3rd edition by Wes McKinney – a practical guide to data wrangling with pandas, NumPy, and Jupyter. Learn real‑world techniques for cleaning, transforming, and visualizing data efficiently.
(9781484237861 / 52636289) - Edition: 1st Edition - Height: 254 mm - Spine width: 32 mm - Width: 178 mm - Apress - ISBN: 9781484237861 - Number of pages: 379 - Languages: English - Weight: 780 g
The Philips myGarden Python LED Outdoor Wall Light with Motion Sensor features a sleek stainless steel design and is perfect for garden and patio lighting. It includes an integrated 6 W LED light with a wide beam angle, ensuring optimal illumination.
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O′Reilly (9781492034865) - Graphical & digital media applications - First edition - O'Reilly - xxvi, 588 - O'Reilly Media - Height: 230 mm - Spine width: 32 mm - Width: 145 mm - ISBN: 9781492034865 | Practical Deep
Master Python programming with this comprehensive desktop reference, covering language fundamentals to advanced topics, perfect for beginners and experts alike.