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TORRENT DETAILS
Udemy - Random Forest Algorithm Using Python
TORRENT SUMMARY
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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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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Introduction and Understanding of SONAR Dataset.mp4
35.8 MB
~Get Your Files Here !/2. Getting Started/1. Load a CSV File.mp4
36 MB
~Get Your Files Here !/2. Getting Started/2. Load a CSV File Continue.mp4
46.4 MB
~Get Your Files Here !/2. Getting Started/3. Split a dataset into k Folds.mp4
54.4 MB
~Get Your Files Here !/2. Getting Started/4. Evaluate an Algorithm using a Cross Validation Split.mp4
66 MB
~Get Your Files Here !/2. Getting Started/5. Calculate the Gini index for a Split Dataset.mp4
42.5 MB
~Get Your Files Here !/2. Getting Started/6. Select the Best Split Point for a Dataset.mp4
39.2 MB
~Get Your Files Here !/3. Node Value and Subsample/1. Create a Terminal Node Value.mp4
50.5 MB
~Get Your Files Here !/3. Node Value and Subsample/2. Build a Decision Tree.mp4
51.3 MB
~Get Your Files Here !/3. Node Value and Subsample/3. Create a Random Subsample.mp4
27.8 MB
~Get Your Files Here !/3. Node Value and Subsample/4. Random Forest Algorithm.mp4
24.6 MB
~Get Your Files Here !/3. Node Value and Subsample/5. Test the Random Forest Algorithm on Sonar Dataset.mp4
25.9 MB
~Get Your Files Here !/3. Node Value and Subsample/6. Evaluate Algorithm.mp4
