Udemy - Random Forest Algorithm using Python

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[ DevCourseWeb.com ] Udemy - Random Forest Algorithm using Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction and Understanding of SONAR Dataset.mp4 (35.8 MB)
    2. Getting Started
    • 1. Load a CSV File.mp4 (36.0 MB)
    • 2. Load a CSV File Continue.mp4 (46.4 MB)
    • 3. Split a dataset into k Folds.mp4 (54.4 MB)
    • 4. Evaluate an Algorithm using a Cross Validation Split.mp4 (66.0 MB)
    • 5. Calculate the Gini index for a Split Dataset.mp4 (42.5 MB)
    • 6. Select the Best Split Point for a Dataset.mp4 (39.2 MB)
    3. Node Value and Subsample
    • 1. Create a Terminal Node Value.mp4 (50.5 MB)
    • 2. Build a Decision Tree.mp4 (51.3 MB)
    • 3. Create a Random Subsample.mp4 (27.8 MB)
    • 4. Random Forest Algorithm.mp4 (24.6 MB)
    • 5. Test the Random Forest Algorithm on Sonar Dataset.mp4 (25.9 MB)
    • 6. Evaluate Algorithm.mp4 (52.6 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Random Forest Algorithm using Python

https://DevCourseWeb.com

Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 19m | Size: 553 MB

Learn Random Forest Algorithm using Python

What you'll learn
Through this training we are going to learn and apply how the random forest algorithm works
Improve the model Performance using Random Forest.
Build Random Forest Model on Training Data set.
Predict and Validate Performance of Model.

Requirements
Basic Machine learning concepts and Python



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Udemy - Random Forest Algorithm using Python

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553 MB
seeders:10
leechers:6
Udemy - Random Forest Algorithm using Python

Torrent hash: 3A5DB302F851775572B02F5B2C9FEEA84BA9E23A