Download Udemy - Decision Trees, Random Forests, Bagging & XGBoost: R Studio Torrent

Torrent Contents Size: 2.44 GB

Udemy - Decision Trees, Random Forests, Bagging & XGBoost: R Studio

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TutsNode.com.txt

TXT

63 B

[TGx]Downloaded from torrentgalaxy.to .txt

TXT

585 B

[TutsNode.com] - Decision Trees, Random Forests, Bagging & XGBoost R Studio

1. Introduction

1. Welcome to the Course!.mp4	MP4	18.43 MB
1. Welcome to the Course!.srt	SRT	3.33 KB
1.1 00_Intro.pdf	PDF	334.93 KB
2. Course Resources.html	HTML	313 B

10. Bonus Section

	1. Congratulations & About your certificate.html	HTML	1.6 KB
	2. Bonus Lecture.html	HTML	1.13 KB

2. Setting up R Studio and R Crash Course

1. Installing R and R studio.mp4	MP4	35.73 MB
1. Installing R and R studio.srt	SRT	5.64 KB
2. Basics of R and R studio.mp4	MP4	38.84 MB
2. Basics of R and R studio.srt	SRT	10.83 KB
3. Packages in R.mp4	MP4	82.9 MB
3. Packages in R.srt	SRT	11.41 KB
4. Inputting data part 1 Inbuilt datasets of R.mp4	MP4	40.71 MB
4. Inputting data part 1 Inbuilt datasets of R.srt	SRT	4.01 KB
5. Inputting data part 2 Manual data entry.mp4	MP4	25.51 MB
5. Inputting data part 2 Manual data entry.srt	SRT	2.96 KB
6. Inputting data part 3 Importing from CSV or Text files.mp4	MP4	60.12 MB
6. Inputting data part 3 Importing from CSV or Text files.srt	SRT	6.34 KB
6.1 Customer.csv	CSV	64.02 KB
7. Creating Barplots in R.mp4	MP4	96.72 MB
7. Creating Barplots in R.srt	SRT	13.38 KB
8. Creating Histograms in R.mp4	MP4	42.02 MB
8. Creating Histograms in R.srt	SRT	5.91 KB

3. Machine Learning Basics

1. Introduction, Key concepts and Examples.mp4	MP4	109.17 MB
1. Introduction, Key concepts and Examples.srt	SRT	18.45 KB
2. Steps in building an ML model.mp4	MP4	39.46 MB
2. Steps in building an ML model.srt	SRT	9.69 KB

4. Simple Decision trees

1. Basics of Decision Trees.mp4	MP4	42.65 MB
1. Basics of Decision Trees.srt	SRT	10.31 KB
1.1 02_Decision Tree.pdf	PDF	205.84 KB
2. Understanding a Regression Tree.mp4	MP4	43.73 MB
2. Understanding a Regression Tree.srt	SRT	10.68 KB
2.1 03_Concepts.pdf	PDF	221.71 KB
3. The stopping criteria for controlling tree growth.mp4	MP4	13.96 MB
3. The stopping criteria for controlling tree growth.srt	SRT	3.33 KB
3.1 04_Stop_condition.pdf	PDF	154.82 KB
4. The Data set for the Course.mp4	MP4	37.23 MB
4. The Data set for the Course.srt	SRT	3.05 KB
4.1 Movie_regression.csv	CSV	53.26 KB
4.2 Movie_classification.csv	CSV	54.27 KB
5. Importing the Data set into R.mp4	MP4	43.68 MB
5. Importing the Data set into R.srt	SRT	6.53 KB
6. Splitting Data into Test and Train Set in R.mp4	MP4	43.98 MB
6. Splitting Data into Test and Train Set in R.srt	SRT	5.21 KB
7. Building a Regression Tree in R.mp4	MP4	103.33 MB
7. Building a Regression Tree in R.srt	SRT	14.17 KB
8. Pruning a tree.mp4	MP4	18.46 MB
8. Pruning a tree.srt	SRT	3.91 KB
8.1 05_Prune.pdf	PDF	228.51 KB
9. Pruning a Tree in R.mp4	MP4	82.08 MB
9. Pruning a Tree in R.srt	SRT	9.16 KB

5. Simple Classification Tree

1. Classification Trees.mp4	MP4	33.04 MB
1. Classification Trees.srt	SRT	6.17 KB
1.1 06_Decision Tree - Class.pdf	PDF	209.22 KB
2. The Data set for Classification problem.mp4	MP4	21.97 MB
2. The Data set for Classification problem.srt	SRT	1.81 KB
2.1 Movie_classification.csv	CSV	54.27 KB
3. Building a classification Tree in R.mp4	MP4	85.11 MB
3. Building a classification Tree in R.srt	SRT	9.57 KB
4. Advantages and Disadvantages of Decision Trees.mp4	MP4	7.76 MB
4. Advantages and Disadvantages of Decision Trees.srt	SRT	1.67 KB
4.1 10_Adv_disadv.pdf	PDF	145.47 KB

6. Ensemble technique 1 - Bagging

1. Bagging.mp4	MP4	32.32 MB
1. Bagging.srt	SRT	6.59 KB
1.1 07_Bagging.pdf	PDF	303.67 KB
2. Bagging in R.mp4	MP4	58.95 MB
2. Bagging in R.srt	SRT	6.43 KB

7. Ensemble technique 2 - Random Forest

1. Random Forest technique.mp4	MP4	21.44 MB
1. Random Forest technique.srt	SRT	4.02 KB
1.1 08_Random_Forest.pdf	PDF	168.4 KB
2. Random Forest in R.mp4	MP4	30.75 MB
2. Random Forest in R.srt	SRT	4.23 KB

8. Ensemble technique 3 - Boosting

1. Boosting techniques.mp4	MP4	34.37 MB
1. Boosting techniques.srt	SRT	7.28 KB
1.1 09_Boosting.pdf	PDF	188.04 KB
2. Quiz.html	HTML	156 B
3. Gradient Boosting in R.mp4	MP4	69.1 MB
3. Gradient Boosting in R.srt	SRT	7.82 KB
4. AdaBoosting in R.mp4	MP4	103.01 MB
4. AdaBoosting in R.srt	SRT	9.65 KB
5. XGBoosting in R.mp4	MP4	186.47 MB
5. XGBoosting in R.srt	SRT	16.37 KB
6. Quiz.html	HTML	156 B

9. Add-on 1 Preprocessing and Preparing Data before making any model

1. Gathering Business Knowledge.mp4	MP4	22.29 MB
1. Gathering Business Knowledge.srt	SRT	3.9 KB
10. Missing Value imputation in R.mp4	MP4	26.01 MB
10. Missing Value imputation in R.srt	SRT	3.46 KB
11. Seasonality in Data.mp4	MP4	17.02 MB
11. Seasonality in Data.srt	SRT	3.78 KB
12. Bi-variate Analysis and Variable Transformation.mp4	MP4	100.45 MB
12. Bi-variate Analysis and Variable Transformation.srt	SRT	18.29 KB
13. Variable transformation in R.mp4	MP4	55.43 MB
13. Variable transformation in R.srt	SRT	9.04 KB
14. Non Usable Variables.mp4	MP4	20.25 MB
14. Non Usable Variables.srt	SRT	5.39 KB
15. Dummy variable creation Handling qualitative data.mp4	MP4	36.8 MB
15. Dummy variable creation Handling qualitative data.srt	SRT	4.86 KB
16. Dummy variable creation in R.mp4	MP4	43.99 MB
16. Dummy variable creation in R.srt	SRT	5.19 KB
17. Correlation Matrix and cause-effect relationship.mp4	MP4	71.62 MB
17. Correlation Matrix and cause-effect relationship.srt	SRT	11.04 KB
18. Correlation Matrix in R.mp4	MP4	83.17 MB
18. Correlation Matrix in R.srt	SRT	9.13 KB
19. Quiz.html	HTML	156 B
2. Data Exploration.mp4	MP4	20.52 MB
2. Data Exploration.srt	SRT	3.6 KB
3. The Data and the Data Dictionary.mp4	MP4	69.36 MB
3. The Data and the Data Dictionary.srt	SRT	7.82 KB
4. Importing the dataset into R.mp4	MP4	13.12 MB
4. Importing the dataset into R.srt	SRT	2.6 KB
4.1 House_Price.csv	CSV	53.49 KB
5. Univariate Analysis and EDD.mp4	MP4	24.22 MB
5. Univariate Analysis and EDD.srt	SRT	3.44 KB
6. EDD in R.mp4	MP4	96.98 MB
6. EDD in R.srt	SRT	11.55 KB
7. Outlier Treatment.mp4	MP4	24.5 MB
7. Outlier Treatment.srt	SRT	4.46 KB
8. Outlier Treatment in R.mp4	MP4	30.74 MB
8. Outlier Treatment in R.srt	SRT	4.28 KB
9. Missing Value imputation.mp4	MP4	24.98 MB
9. Missing Value imputation.srt	SRT	4.08 KB

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Udemy - Decision Trees, Random Forests, Bagging & XGBoost: R Studio

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