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| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
91B |
| 1 |
32B |
| 1.1 00_Intro.pdf |
334.93KB |
| 1.1 02_Decision Tree.pdf |
205.84KB |
| 1.1 06_Decision Tree - Class.pdf |
209.22KB |
| 1.1 07_Bagging.pdf |
303.67KB |
| 1.1 08_Random_Forest.pdf |
168.40KB |
| 1.1 09_Boosting.pdf |
188.04KB |
| 1. Bagging.mp4 |
32.32MB |
| 1. Bagging.srt |
6.59KB |
| 1. Basics of Decision Trees.mp4 |
42.65MB |
| 1. Basics of Decision Trees.srt |
10.31KB |
| 1. Boosting techniques.mp4 |
34.37MB |
| 1. Boosting techniques.srt |
7.28KB |
| 1. Classification Trees.mp4 |
33.04MB |
| 1. Classification Trees.srt |
6.17KB |
| 1. Congratulations & About your certificate.html |
1.60KB |
| 1. Gathering Business Knowledge.mp4 |
22.29MB |
| 1. Gathering Business Knowledge.srt |
3.90KB |
| 1. Installing R and R studio.mp4 |
35.73MB |
| 1. Installing R and R studio.srt |
5.64KB |
| 1. Introduction, Key concepts and Examples.mp4 |
109.17MB |
| 1. Introduction, Key concepts and Examples.srt |
18.45KB |
| 1. Random Forest technique.mp4 |
21.44MB |
| 1. Random Forest technique.srt |
4.02KB |
| 1. Welcome to the Course!.mp4 |
18.43MB |
| 1. Welcome to the Course!.srt |
3.33KB |
| 10 |
944B |
| 10. Missing Value imputation in R.mp4 |
26.01MB |
| 10. Missing Value imputation in R.srt |
3.46KB |
| 11 |
252.65KB |
| 11. Seasonality in Data.mp4 |
17.02MB |
| 11. Seasonality in Data.srt |
3.78KB |
| 12 |
138.91KB |
| 12. Bi-variate Analysis and Variable Transformation.mp4 |
100.45MB |
| 12. Bi-variate Analysis and Variable Transformation.srt |
18.29KB |
| 13 |
404.88KB |
| 13. Variable transformation in R.mp4 |
55.43MB |
| 13. Variable transformation in R.srt |
9.04KB |
| 14 |
389.95KB |
| 14. Non Usable Variables.mp4 |
20.25MB |
| 14. Non Usable Variables.srt |
5.39KB |
| 15 |
52.14KB |
| 15. Dummy variable creation Handling qualitative data.mp4 |
36.80MB |
| 15. Dummy variable creation Handling qualitative data.srt |
4.86KB |
| 16 |
72.51KB |
| 16. Dummy variable creation in R.mp4 |
43.99MB |
| 16. Dummy variable creation in R.srt |
5.19KB |
| 17 |
5.43KB |
| 17. Correlation Matrix and cause-effect relationship.mp4 |
71.62MB |
| 17. Correlation Matrix and cause-effect relationship.srt |
11.04KB |
| 18 |
16.41KB |
| 18. Correlation Matrix in R.mp4 |
83.17MB |
| 18. Correlation Matrix in R.srt |
9.13KB |
| 19 |
277.55KB |
| 19. Quiz.html |
156B |
| 2 |
8B |
| 2.1 03_Concepts.pdf |
221.71KB |
| 2.1 Movie_classification.csv |
54.27KB |
| 2. Bagging in R.mp4 |
58.95MB |
| 2. Bagging in R.srt |
6.43KB |
| 2. Basics of R and R studio.mp4 |
38.84MB |
| 2. Basics of R and R studio.srt |
10.83KB |
| 2. Bonus Lecture.html |
1.13KB |
| 2. Course Resources.html |
313B |
| 2. Data Exploration.mp4 |
20.52MB |
| 2. Data Exploration.srt |
3.60KB |
| 2. Quiz.html |
156B |
| 2. Random Forest in R.mp4 |
30.75MB |
| 2. Random Forest in R.srt |
4.23KB |
| 2. Steps in building an ML model.mp4 |
39.46MB |
| 2. Steps in building an ML model.srt |
9.69KB |
| 2. The Data set for Classification problem.mp4 |
21.97MB |
| 2. The Data set for Classification problem.srt |
1.81KB |
| 2. Understanding a Regression Tree.mp4 |
43.73MB |
| 2. Understanding a Regression Tree.srt |
10.68KB |
| 20 |
330.65KB |
| 21 |
359.12KB |
| 22 |
494.01KB |
| 23 |
293.57KB |
| 24 |
37.87KB |
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161.20KB |
| 26 |
273.17KB |
| 27 |
200.11KB |
| 28 |
280.22KB |
| 29 |
136.56KB |
| 3 |
77B |
| 3.1 04_Stop_condition.pdf |
154.82KB |
| 3. Building a classification Tree in R.mp4 |
85.11MB |
| 3. Building a classification Tree in R.srt |
9.57KB |
| 3. Gradient Boosting in R.mp4 |
69.10MB |
| 3. Gradient Boosting in R.srt |
7.82KB |
| 3. Packages in R.mp4 |
82.90MB |
| 3. Packages in R.srt |
11.41KB |
| 3. The Data and the Data Dictionary.mp4 |
69.36MB |
| 3. The Data and the Data Dictionary.srt |
7.82KB |
| 3. The stopping criteria for controlling tree growth.mp4 |
13.96MB |
| 3. The stopping criteria for controlling tree growth.srt |
3.33KB |
| 30 |
473.90KB |
| 31 |
180.17KB |
| 32 |
260.97KB |
| 33 |
262.98KB |
| 34 |
503.07KB |
| 35 |
498.84KB |
| 36 |
17.81KB |
| 37 |
3.08KB |
| 38 |
290.98KB |
| 39 |
219.97KB |
| 4 |
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| 4.1 10_Adv_disadv.pdf |
145.47KB |
| 4.1 House_Price.csv |
53.49KB |
| 4.1 Movie_regression.csv |
53.26KB |
| 4.2 Movie_classification.csv |
54.27KB |
| 4. AdaBoosting in R.mp4 |
103.01MB |
| 4. AdaBoosting in R.srt |
9.65KB |
| 4. Advantages and Disadvantages of Decision Trees.mp4 |
7.76MB |
| 4. Advantages and Disadvantages of Decision Trees.srt |
1.67KB |
| 4. Importing the dataset into R.mp4 |
13.12MB |
| 4. Importing the dataset into R.srt |
2.60KB |
| 4. Inputting data part 1 Inbuilt datasets of R.mp4 |
40.71MB |
| 4. Inputting data part 1 Inbuilt datasets of R.srt |
4.01KB |
| 4. The Data set for the Course.mp4 |
37.23MB |
| 4. The Data set for the Course.srt |
3.05KB |
| 40 |
33.70KB |
| 41 |
56.62KB |
| 42 |
493.40KB |
| 43 |
256.19KB |
| 44 |
40.76KB |
| 45 |
72.83KB |
| 46 |
488.44KB |
| 47 |
37.12KB |
| 48 |
393.29KB |
| 5 |
2B |
| 5. Importing the Data set into R.mp4 |
43.68MB |
| 5. Importing the Data set into R.srt |
6.53KB |
| 5. Inputting data part 2 Manual data entry.mp4 |
25.51MB |
| 5. Inputting data part 2 Manual data entry.srt |
2.96KB |
| 5. Univariate Analysis and EDD.mp4 |
24.22MB |
| 5. Univariate Analysis and EDD.srt |
3.44KB |
| 5. XGBoosting in R.mp4 |
186.47MB |
| 5. XGBoosting in R.srt |
16.37KB |
| 6 |
732B |
| 6.1 Customer.csv |
64.02KB |
| 6. EDD in R.mp4 |
96.98MB |
| 6. EDD in R.srt |
11.55KB |
| 6. Inputting data part 3 Importing from CSV or Text files.mp4 |
60.12MB |
| 6. Inputting data part 3 Importing from CSV or Text files.srt |
6.34KB |
| 6. Quiz.html |
156B |
| 6. Splitting Data into Test and Train Set in R.mp4 |
43.98MB |
| 6. Splitting Data into Test and Train Set in R.srt |
5.21KB |
| 7 |
23B |
| 7. Building a Regression Tree in R.mp4 |
103.33MB |
| 7. Building a Regression Tree in R.srt |
14.17KB |
| 7. Creating Barplots in R.mp4 |
96.72MB |
| 7. Creating Barplots in R.srt |
13.38KB |
| 7. Outlier Treatment.mp4 |
24.50MB |
| 7. Outlier Treatment.srt |
4.46KB |
| 8 |
112B |
| 8.1 05_Prune.pdf |
228.51KB |
| 8. Creating Histograms in R.mp4 |
42.02MB |
| 8. Creating Histograms in R.srt |
5.91KB |
| 8. Outlier Treatment in R.mp4 |
30.74MB |
| 8. Outlier Treatment in R.srt |
4.28KB |
| 8. Pruning a tree.mp4 |
18.46MB |
| 8. Pruning a tree.srt |
3.91KB |
| 9 |
68B |
| 9. Missing Value imputation.mp4 |
24.98MB |
| 9. Missing Value imputation.srt |
4.08KB |
| 9. Pruning a Tree in R.mp4 |
82.08MB |
| 9. Pruning a Tree in R.srt |
9.16KB |
| TutsNode.com.txt |
63B |