Scikit Advanced

Practical Scikit-Learn For Machine Learning: 4-In-1  eBooks & eLearning

Posted by ELK1nG at Dec. 23, 2022
Practical Scikit-Learn For Machine Learning: 4-In-1

Practical Scikit-Learn For Machine Learning: 4-In-1
Last updated 11/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.53 GB | Duration: 17h 32m

Machine Learning in practice with Python’s own scikit-learn on real-world datasets!

Python 3 Advanced Computer Vision with OpenCV & Scikit-image  eBooks & eLearning

Posted by Sigha at July 18, 2019
Python 3 Advanced Computer Vision with OpenCV & Scikit-image

Python 3 Advanced Computer Vision with OpenCV & Scikit-image
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 4.94 GB
Duration: 11.5 hours | Genre: eLearning | Language: English

Learn Image Processing and Computer Vision Programming with OpenCV, NumPy, Matplotlib, and Scikit-image.

Python Scikit Learn Programming With Coding Exercises  eBooks & eLearning

Posted by ELK1nG at Sept. 16, 2024
Python Scikit Learn Programming With Coding Exercises

Python Scikit Learn Programming With Coding Exercises
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 299.09 MB | Duration: 2h 0m

Master Machine Learning with Scikit-learn Through Practical Coding Challenges

Scikit-Learn Tips And Tricks  eBooks & eLearning

Posted by ELK1nG at May 5, 2023
Scikit-Learn Tips And Tricks

Scikit-Learn Tips And Tricks
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.93 GB | Duration: 4h 16m

Master Scikit-Learn for Real-World ML

Feature Engineering for Modern Machine Learning with Scikit-Learn  eBooks & eLearning

Posted by yoyoloit at April 24, 2025
Feature Engineering for Modern Machine Learning with Scikit-Learn

Feature Engineering for Modern Machine Learning with Scikit-Learn
by Miguel Gonzalez

English | 2025 | ISBN: 9798895873588 | 436 pages | True PDF EPUB | 20.34 MB
Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced...

Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python by Alvaro Fuentes
English | October 9th, 2018 | ISBN: 178961774X | 154 Pages | EPUB | 24.23 MB

Learn advanced techniques to improve the performance and quality of your predictive models
Deep Learning with Scikit-learn and PyTorch: Master the Two Giants: Deep Learning with Scikit-learn andPyTorch

Deep Learning with Scikit-learn and PyTorch: Master the Two Giants: Deep Learning with Scikit-learn andPyTorch (Even if You're New).YourStep-by-StepGuide … and PyTorch (Python Trailblazer’s Bible) by Katie Millie
English | March 3, 2024 | ISBN: N/A | ASIN: B0CX1K1K24 | 144 pages | EPUB | 0.24 Mb

Mastering Python Data Science: Advanced Analysis with NumPy, Pandas, and Scikit-Learn  eBooks & eLearning

Posted by TiranaDok at July 13, 2024
Mastering Python Data Science: Advanced Analysis with NumPy, Pandas, and Scikit-Learn

Mastering Python Data Science: Advanced Analysis with NumPy, Pandas, and Scikit-Learn by JOSEPH GRIFFIN
English | April 11, 2024 | ISBN: 832255406X | 201 pages | EPUB | 0.25 Mb

Learning scikit-learn: Machine Learning in Python  eBooks & eLearning

Posted by AlenMiler at July 31, 2015
Learning scikit-learn: Machine Learning in Python

Learning scikit-learn: Machine Learning in Python by Raúl Garreta
English | Nov. 25, 2013 | ISBN: 1783281936 | 118 Pages | EPUB/MOBI/PDF (True) | 4.56 MB

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Learning scikit-learn: Machine Learning in Python  eBooks & eLearning

Posted by AlenMiler at March 18, 2019
Learning scikit-learn: Machine Learning in Python

Learning scikit-learn: Machine Learning in Python by Raúl Garreta, Guillermo Moncecchi
English | November 25, 2013 | ISBN: 1783281936 | 118 pages | PDF/MOBI | 4.56 Mb