Udemy - Random Forest Algorithm using Python
- Category Other
- Type Tutorials
- Language English
- Total size 553.0 MB
- Uploaded By freecoursewb
- Downloads 178
- Last checked 2 days ago
- Date uploaded 2 years ago
- Seeders 12
- Leechers 2
Infohash : 3A5DB302F851775572B02F5B2C9FEEA84BA9E23A
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
Files:
[ 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)
- 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)
- 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)
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