Udemy - Support Vector Machines For Regression - Machine Learning

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[ DevCourseWeb.com ] Udemy - Support Vector Machines For Regression - Machine Learning
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Code Environment Setup
    • 1 - Google Colab for Programming in Python.mp4 (6.8 MB)
    • 1 - Google-Colab-for-Programming-in-Python.pdf (577.8 KB)
    2 - Machine Learning Fundamentals
    • 2 - Introduction to Machine Learning.mp4 (10.6 MB)
    • 2 - Introduction-to-Machine-Learning.pdf (284.7 KB)
    3 - Support Vector Machines for Regression
    • 3 - Energy.csv (4.3 MB)
    • 3 - Introduction to the Dataset.mp4 (93.8 MB)
    • 3 - Introduction-to-the-Dataset.ipynb (48.4 KB)
    • 3 - Introduction-to-the-Dataset.pdf (362.1 KB)
    • 4 - Partition of the Dataset Time Series Windows.mp4 (120.4 MB)
    • 4 - Partition-of-the-Dataset-Time-Series-Windows.ipynb (52.4 KB)
    • 4 - Partition-of-the-Dataset-Time-Series-Windows.pdf (491.9 KB)
    • 5 - Partition of the Dataset Target Variable.mp4 (37.0 MB)
    • 5 - Partition-of-the-Dataset-Target-Variable.ipynb (49.4 KB)
    • 5 - Partition-of-the-Dataset-Target-Variable.pdf (424.9 KB)
    • 6 - SVM-Linear-Kernel.ipynb (157.0 KB)
    • 6 - Support Vector Machine Linear Kernel.mp4 (194.4 MB)
    • 6 - Support-Vector-Machine-Linear-Kernel.pdf (516.3 KB)
    • 7 - SVM-Polynomial-Kernels.ipynb (257.7 KB)
    • 7 - Support Vector Machines Polynomial Kernels.mp4 (72.1 MB)
    • 7 - Support-Vector-Machine-Polynomial-Kernels.pdf (742.4 KB)
    • 8 - SVM-RBF-Kernel.ipynb (359.8 KB)
    • 8 - Support Vector Machine Radial Basis Function RBF Kernel.mp4 (123.5 MB)
    • 8 - Support-Vector-Machine-RBF-Kernel.pdf (537.8 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Support Vector Machines For Regression: Machine Learning

https://DevCourseWeb.com

Last updated 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 667.61 MB | Duration: 1h 38m

Learn to use Support Vector Machines for Regression from a Data Science expert. Code templates included.

What you'll learn
Master Support Vector Machines for Regression in Python
Become an advanced, confident, and modern data scientist from scratch
Become job-ready by understanding how Support Vector Machines really work behind the scenes
Apply robust Data Science techniques for Support Vector Machines
How to think and work like a data scientist: problem-solving, researching, workflows
Get fast and friendly support in the Q&A area

Requirements
No data science experience is necessary to take this course.
Any computer and OS will work — Windows, macOS or Linux. We will set up your code environment in the course.



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Udemy - Support Vector Machines For Regression - Machine Learning


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667.6 MB
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leechers:4
Udemy - Support Vector Machines For Regression - Machine Learning


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