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Decision Trees, Random Forests, Bagging & XGBoost R Studio
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[TutsNode.com] - Decision Trees, Random Forests, Bagging & XGBoost R Studio (Size: 2.44 GB) (Files: 172)
[TutsNode.com] - Decision Trees, Random Forests, Bagging & XGBoost R Studio
8. Ensemble technique 3 - Boosting
5. XGBoosting in R.mp4
5. XGBoosting in R.srt
4. AdaBoosting in R.mp4
2. Quiz.html
6. Quiz.html
4. AdaBoosting in R.srt
3. Gradient Boosting in R.srt
1. Boosting techniques.srt
1.1 09_Boosting.pdf
3. Gradient Boosting in R.mp4
1. Boosting techniques.mp4
3. Machine Learning Basics
1. Introduction, Key concepts and Examples.srt
1. Introduction, Key concepts and Examples.mp4
2. Steps in building an ML model.srt
2. Steps in building an ML model.mp4
6. Ensemble technique 1 - Bagging
1.1 07_Bagging.pdf
1. Bagging.srt
2. Bagging in R.srt
2. Bagging in R.mp4
1. Bagging.mp4
9. Add-on 1 Preprocessing and Preparing Data before making any model
12. Bi-variate Analysis and Variable Transformation.srt
17. Correlation Matrix and cause-effect relationship.srt
7. Outlier Treatment.srt
6. EDD in R.srt
12. Bi-variate Analysis and Variable Transformation.mp4
6. EDD in R.mp4
19. Quiz.html
4.1 House_Price.csv
18. Correlation Matrix in R.mp4
18. Correlation Matrix in R.srt
13. Variable transformation in R.srt
3. The Data and the Data Dictionary.srt
17. Correlation Matrix and cause-effect relationship.mp4
14. Non Usable Variables.srt
16. Dummy variable creation in R.srt
15. Dummy variable creation Handling qualitative data.srt
8. Outlier Treatment in R.srt
9. Missing Value imputation.srt
1. Gathering Business Knowledge.srt
11. Seasonality in Data.srt
2. Data Exploration.srt
10. Missing Value imputation in R.srt
4. Importing the dataset into R.srt
5. Univariate Analysis and EDD.srt
3. The Data and the Data Dictionary.mp4
13. Variable transformation in R.mp4
16. Dummy variable creation in R.mp4
15. Dummy variable creation Handling qualitative data.mp4
8. Outlier Treatment in R.mp4
10. Missing Value imputation in R.mp4
9. Missing Value imputation.mp4
7. Outlier Treatment.mp4
5. Univariate Analysis and EDD.mp4
1. Gathering Business Knowledge.mp4
2. Data Exploration.mp4
14. Non Usable Variables.mp4
11. Seasonality in Data.mp4
4. Importing the dataset into R.mp4
1. Introduction
2. Course Resources.html
1.1 00_Intro.pdf
1. Welcome to the Course!.srt
1. Welcome to the Course!.mp4
4. Simple Decision trees
7. Building a Regression Tree in R.mp4
3.1 04_Stop_condition.pdf
7. Building a Regression Tree in R.srt
2. Understanding a Regression Tree.srt
9. Pruning a Tree in R.srt
8.1 05_Prune.pdf
2.1 03_Concepts.pdf
1. Basics of Decision Trees.srt
4.2 Movie_classification.csv
9. Pruning a Tree in R.mp4
1.1 02_Decision Tree.pdf
5. Importing the Data set into R.srt
4.1 Movie_regression.csv
6. Splitting Data into Test and Train Set in R.srt
8. Pruning a tree.srt
3. The stopping criteria for controlling tree growth.srt
4. The Data set for the Course.srt
6. Splitting Data into Test and Train Set in R.mp4
2. Understanding a Regression Tree.mp4
5. Importing the Data set into R.mp4
1. Basics of Decision Trees.mp4
4. The Data set for the Course.mp4
8. Pruning a tree.mp4
3. The stopping criteria for controlling tree growth.mp4
7. Ensemble technique 2 - Random Forest
1.1 08_Random_Forest.pdf
2. Random Forest in R.srt
1. Random Forest technique.srt
2. Random Forest in R.mp4
1. Random Forest technique.mp4
2. Setting up R Studio and R Crash Course
7. Creating Barplots in R.srt
3. Packages in R.srt
2. Basics of R and R studio.srt
7. Creating Barplots in R.mp4
6.1 Customer.csv
3. Packages in R.mp4
5. Inputting data part 2 Manual data entry.srt
6. Inputting data part 3 Importing from CSV or Text files.srt
8. Creating Histograms in R.srt
1. Installing R and R studio.srt
4. Inputting data part 1 Inbuilt datasets of R.srt
6. Inputting data part 3 Importing from CSV or Text files.mp4
8. Creating Histograms in R.mp4
4. Inputting data part 1 Inbuilt datasets of R.mp4
2. Basics of R and R studio.mp4
1. Installing R and R studio.mp4
5. Inputting data part 2 Manual data entry.mp4
5. Simple Classification Tree
2. The Data set for Classification problem.srt
3. Building a classification Tree in R.mp4
4.1 10_Adv_disadv.pdf
1.1 06_Decision Tree - Class.pdf
2.1 Movie_classification.csv
3. Building a classification Tree in R.srt
4. Advantages and Disadvantages of Decision Trees.srt
1. Classification Trees.srt
1. Classification Trees.mp4
2. The Data set for Classification problem.mp4
4. Advantages and Disadvantages of Decision Trees.mp4
10. Bonus Section
1. Congratulations & About your certificate.html
2. Bonus Lecture.html
TutsNode.com.txt
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