| 1. All Install the Package.mp4 | 87.4 MB | ||
| 1. Conclusion.mp4 | 22.7 MB | ||
| 1. Introduction to Tree Based Modeling Decision Tree.mp4 | 32.5 MB | ||
| 1. What is Bank Loan Default Prediction.mp4 | 137.4 MB | ||
| 2. Load the Excel File.mp4 | 170.9 MB | ||
| 2. Question and R Code.mp4 | 83.9 MB | ||
| 3. Data clean.mp4 | 109.4 MB | ||
| 4. Train and Test.mp4 | 81.2 MB | ||
| 5. Model Code.mp4 | 136.9 MB | ||
| 6. Confusion Matrix.mp4 | 62.5 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
Decision Trees using R - Bank Loan Default Prediction
https://DevCourseWeb.com
Published 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 30m | Size: 925 MB
Learn Decision Trees using R with a case study to predict Bank Loan Default
What you'll learn
The decision tree is a key challenge in R and the strength of the tree is they are easy to understand and read when compared with other models.
This course makes one become proficient to build predictive and tree-based learning models
This course includes learning decision tree modeling which are used by data scientists or people who aspire to be the data scientist
Implementation of Decision Tree Classifications using R
Requirements
Basics of R
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