Decision Trees Random Forests Bagging XGBoost Studio | 0A3979B0C44408C95532D863975252AF1435B8A7

Decision Trees Random Forests Bagging XGBoost Studio

Name	Decision Trees, Random Forests, Bagging & XGBoost R Studio	DOWNLOAD Copy Link
Total Size	2.6 GB
Total Files	172
Last Seen	2024-07-22 23:56
Hash	0A3979B0C44408C95532D863975252AF1435B8A7

/.../8. Ensemble technique 3 - Boosting/
5. XGBoosting in R.mp4	195.5 MB
5. XGBoosting in R.srt	16.8 KB
4. AdaBoosting in R.mp4	108.0 MB
2. Quiz.html	0.2 KB
6. Quiz.html	0.2 KB
4. AdaBoosting in R.srt	9.9 KB
3. Gradient Boosting in R.srt	8.0 KB
1. Boosting techniques.srt	7.5 KB
1.1 09_Boosting.pdf	192.6 KB
3. Gradient Boosting in R.mp4	72.5 MB
1. Boosting techniques.mp4	36.0 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../3. Machine Learning Basics/
1. Introduction, Key concepts and Examples.srt	18.9 KB
1. Introduction, Key concepts and Examples.mp4	114.5 MB
2. Steps in building an ML model.srt	9.9 KB
2. Steps in building an ML model.mp4	41.4 MB
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45	74.6 KB
46	500.2 KB
47	38.0 KB
48	402.7 KB
/.../6. Ensemble technique 1 - Bagging/
1.1 07_Bagging.pdf	311.0 KB
1. Bagging.srt	6.7 KB
2. Bagging in R.srt	6.6 KB
2. Bagging in R.mp4	61.8 MB
1. Bagging.mp4	33.9 MB
/.../9. Add-on 1 Preprocessing and Preparing Data before making any model/
12. Bi-variate Analysis and Variable Transformation.srt	18.7 KB
17. Correlation Matrix and cause-effect relationship.srt	11.3 KB
7. Outlier Treatment.srt	4.6 KB
6. EDD in R.srt	11.8 KB
12. Bi-variate Analysis and Variable Transformation.mp4	105.3 MB
6. EDD in R.mp4	101.7 MB
19. Quiz.html	0.2 KB
4.1 House_Price.csv	54.8 KB
18. Correlation Matrix in R.mp4	87.2 MB
18. Correlation Matrix in R.srt	9.3 KB
13. Variable transformation in R.srt	9.3 KB
3. The Data and the Data Dictionary.srt	8.0 KB
17. Correlation Matrix and cause-effect relationship.mp4	75.1 MB
14. Non Usable Variables.srt	5.5 KB
16. Dummy variable creation in R.srt	5.3 KB
15. Dummy variable creation Handling qualitative data.srt	5.0 KB
8. Outlier Treatment in R.srt	4.4 KB
9. Missing Value imputation.srt	4.2 KB
1. Gathering Business Knowledge.srt	4.0 KB
11. Seasonality in Data.srt	3.9 KB
2. Data Exploration.srt	3.7 KB
10. Missing Value imputation in R.srt	3.5 KB
4. Importing the dataset into R.srt	2.7 KB
5. Univariate Analysis and EDD.srt	3.5 KB
3. The Data and the Data Dictionary.mp4	72.7 MB
13. Variable transformation in R.mp4	58.1 MB
16. Dummy variable creation in R.mp4	46.1 MB
15. Dummy variable creation Handling qualitative data.mp4	38.6 MB
8. Outlier Treatment in R.mp4	32.2 MB
10. Missing Value imputation in R.mp4	27.3 MB
9. Missing Value imputation.mp4	26.2 MB
7. Outlier Treatment.mp4	25.7 MB
5. Univariate Analysis and EDD.mp4	25.4 MB
1. Gathering Business Knowledge.mp4	23.4 MB
2. Data Exploration.mp4	21.5 MB
14. Non Usable Variables.mp4	21.2 MB
11. Seasonality in Data.mp4	17.8 MB
4. Importing the dataset into R.mp4	13.8 MB
/1. Introduction/
2. Course Resources.html	0.3 KB
1.1 00_Intro.pdf	343.0 KB
1. Welcome to the Course!.srt	3.4 KB
1. Welcome to the Course!.mp4	19.3 MB
/.../4. Simple Decision trees/
7. Building a Regression Tree in R.mp4	108.4 MB
3.1 04_Stop_condition.pdf	158.5 KB
7. Building a Regression Tree in R.srt	14.5 KB
2. Understanding a Regression Tree.srt	10.9 KB
9. Pruning a Tree in R.srt	9.4 KB
8.1 05_Prune.pdf	234.0 KB
2.1 03_Concepts.pdf	227.0 KB
1. Basics of Decision Trees.srt	10.6 KB
4.2 Movie_classification.csv	55.6 KB
9. Pruning a Tree in R.mp4	86.1 MB
1.1 02_Decision Tree.pdf	210.8 KB
5. Importing the Data set into R.srt	6.7 KB
4.1 Movie_regression.csv	54.5 KB
6. Splitting Data into Test and Train Set in R.srt	5.3 KB
8. Pruning a tree.srt	4.0 KB
3. The stopping criteria for controlling tree growth.srt	3.4 KB
4. The Data set for the Course.srt	3.1 KB
6. Splitting Data into Test and Train Set in R.mp4	46.1 MB
2. Understanding a Regression Tree.mp4	45.9 MB
5. Importing the Data set into R.mp4	45.8 MB
1. Basics of Decision Trees.mp4	44.7 MB
4. The Data set for the Course.mp4	39.0 MB
8. Pruning a tree.mp4	19.4 MB
3. The stopping criteria for controlling tree growth.mp4	14.6 MB
/.../7. Ensemble technique 2 - Random Forest/
1.1 08_Random_Forest.pdf	172.4 KB
2. Random Forest in R.srt	4.3 KB
1. Random Forest technique.srt	4.1 KB
2. Random Forest in R.mp4	32.2 MB
1. Random Forest technique.mp4	22.5 MB
/.../2. Setting up R Studio and R Crash Course/
7. Creating Barplots in R.srt	13.7 KB
3. Packages in R.srt	11.7 KB
2. Basics of R and R studio.srt	11.1 KB
7. Creating Barplots in R.mp4	101.4 MB
6.1 Customer.csv	65.6 KB
3. Packages in R.mp4	86.9 MB
5. Inputting data part 2 Manual data entry.srt	3.0 KB
6. Inputting data part 3 Importing from CSV or Text files.srt	6.5 KB
8. Creating Histograms in R.srt	6.0 KB
1. Installing R and R studio.srt	5.8 KB
4. Inputting data part 1 Inbuilt datasets of R.srt	4.1 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	63.0 MB
8. Creating Histograms in R.mp4	44.1 MB
4. Inputting data part 1 Inbuilt datasets of R.mp4	42.7 MB
2. Basics of R and R studio.mp4	40.7 MB
1. Installing R and R studio.mp4	37.5 MB
5. Inputting data part 2 Manual data entry.mp4	26.8 MB
/.../5. Simple Classification Tree/
2. The Data set for Classification problem.srt	1.9 KB
3. Building a classification Tree in R.mp4	89.2 MB
4.1 10_Adv_disadv.pdf	149.0 KB
1.1 06_Decision Tree - Class.pdf	214.2 KB
2.1 Movie_classification.csv	55.6 KB
3. Building a classification Tree in R.srt	9.8 KB
4. Advantages and Disadvantages of Decision Trees.srt	1.7 KB
1. Classification Trees.srt	6.3 KB
1. Classification Trees.mp4	34.6 MB
2. The Data set for Classification problem.mp4	23.0 MB
4. Advantages and Disadvantages of Decision Trees.mp4	8.1 MB
/.../10. Bonus Section/
1. Congratulations & About your certificate.html	1.6 KB
2. Bonus Lecture.html	1.2 KB
Total files 172