Torrent Info
Title Data Mining for Business in Python 2021
Category
Size 3.13GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 670.63KB
1 336.59KB
1. Game Plan.mp4 58.67MB
1. Game Plan.mp4 49.48MB
1. Game Plan.mp4 40.46MB
1. Game Plan.mp4 35.50MB
1. Game Plan.mp4 35.44MB
1. Game Plan.mp4 28.27MB
1. Game Plan.mp4 28.16MB
1. Game Plan.mp4 23.35MB
1. Game Plan.mp4 20.19MB
1. Game Plan.srt 2.01KB
1. Game Plan.srt 3.53KB
1. Game Plan.srt 2.17KB
1. Game Plan.srt 3.01KB
1. Game Plan.srt 2.47KB
1. Game Plan.srt 1.79KB
1. Game Plan.srt 1.72KB
1. Game Plan.srt 1.39KB
1. Game Plan.srt 1.29KB
1. Introduction.mp4 55.67MB
1. Introduction.srt 3.32KB
1. Where you could skill up next....html 3.15KB
10 536.87KB
10. Python - Apriori Visualization.mp4 40.42MB
10. Python - Apriori Visualization.srt 6.00KB
10. Python - Calculating Specific Events.mp4 33.41MB
10. Python - Calculating Specific Events.srt 6.42KB
10. Python - Cumulative Explained Variance.mp4 8.90MB
10. Python - Cumulative Explained Variance.srt 2.29KB
10. Python - Probability of belonging to each cluster.mp4 27.32MB
10. Python - Probability of belonging to each cluster.srt 4.04KB
10. Python - Random Forest Predictions.mp4 13.91MB
10. Python - Random Forest Predictions.srt 3.13KB
10. Python - Training and Test Set.mp4 9.66MB
10. Python - Training and Test Set.srt 2.49KB
10. Python - Transforming Jobs Variable.mp4 31.77MB
10. Python - Transforming Jobs Variable.srt 6.23KB
100 372.18KB
101 405.65KB
102 428.38KB
103 453.96KB
104 478.11KB
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11. Extra Resources and Challenge.mp4 26.04MB
11. Extra Resources and Challenge.srt 6.01KB
11. Python - Classification Report.mp4 24.65MB
11. Python - Classification Report.srt 5.05KB
11. Python - Cluster Interpretation.mp4 39.70MB
11. Python - Cluster Interpretation.srt 5.49KB
11. Python - PCA.mp4 17.20MB
11. Python - PCA.srt 3.16KB
11. Python - Plotting Survival Curves.mp4 10.67MB
11. Python - Plotting Survival Curves.srt 2.64KB
11. Python - Transforming Experience Variable.mp4 23.60MB
11. Python - Transforming Experience Variable.srt 4.89KB
11. Python - XGBoost Matrices.mp4 10.35MB
11. Python - XGBoost Matrices.srt 1.82KB
110 222.40KB
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12. Extra Resources and Challenge.mp4 24.24MB
12. Extra Resources and Challenge.srt 6.59KB
12. Python .- Feature Importance.mp4 18.10MB
12. Python .- Feature Importance.srt 3.30KB
12. Python - Challenge Solutions.mp4 69.19MB
12. Python - Challenge Solutions.srt 10.44KB
12. Python - PCA interpretation.mp4 48.58MB
12. Python - PCA interpretation.srt 7.93KB
12. Python - Plotting Cumulative Curves.mp4 16.59MB
12. Python - Plotting Cumulative Curves.srt 2.85KB
12. Python - Transform Minimum Variable.mp4 26.73MB
12. Python - Transform Minimum Variable.srt 6.60KB
12. XGBoost Parameters.mp4 14.68MB
12. XGBoost Parameters.srt 4.80KB
120 235.23KB
121 54.14KB
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13. Extra Resources and Challenge.mp4 35.45MB
13. Extra Resources and Challenge.srt 8.07KB
13. Log Rank Test.mp4 5.68MB
13. Log Rank Test.srt 1.89KB
13. Manifold Learning and t-SNE.mp4 15.91MB
13. Manifold Learning and t-SNE.srt 5.98KB
13. Python - Challenge solutions.mp4 38.90MB
13. Python - Challenge solutions.srt 8.08KB
13. Python - Modify other variables to dummy variables.mp4 6.80MB
13. Python - Modify other variables to dummy variables.srt 1.17KB
13. Python - XGBoost Parameters.mp4 13.93MB
13. Python - XGBoost Parameters.srt 4.26KB
130 896.53KB
131 55.46KB
132 76.62KB
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14. Python - CHAID Preparation.mp4 13.64MB
14. Python - CHAID Preparation.srt 3.17KB
14. Python - Challenge Solutions.mp4 45.36MB
14. Python - Challenge Solutions.srt 8.18KB
14. Python - Subsetting Dataframe.mp4 7.95MB
14. Python - Subsetting Dataframe.srt 2.07KB
14. Python - t-SNE.mp4 11.64MB
14. Python - t-SNE.srt 2.98KB
14. Python - XGBoost Model.mp4 17.62MB
14. Python - XGBoost Model.srt 3.24KB
15 547.18KB
15. Evaluate Regression-based Problems.mp4 11.53MB
15. Evaluate Regression-based Problems.srt 4.12KB
15. Python - CHAID Model.mp4 34.89MB
15. Python - CHAID Model.srt 6.24KB
15. Python - Plotting both Survival Curves.mp4 15.17MB
15. Python - Plotting both Survival Curves.srt 2.79KB
15. Python -Visualizing Manifold Learning.mp4 21.86MB
15. Python -Visualizing Manifold Learning.srt 4.07KB
16 263.07KB
16. Extra Resources and Challenge.mp4 35.81MB
16. Extra Resources and Challenge.srt 7.22KB
16. Python - Log Rank Test.mp4 11.58MB
16. Python - Log Rank Test.srt 2.16KB
16. Python - Predictions.mp4 5.12MB
16. Python - Predictions.srt 1.61KB
16. Python - Visualizing CHAID Model.mp4 79.67MB
16. Python - Visualizing CHAID Model.srt 17.01KB
17 555.25KB
17. Extra Resources and Challenge.mp4 49.77MB
17. Extra Resources and Challenge.srt 9.70KB
17. Python - Challenge Solutions.mp4 93.74MB
17. Python - Challenge Solutions.srt 14.97KB
17. Python - Kaplan-Meyer Estimator per Gender.mp4 17.83MB
17. Python - Kaplan-Meyer Estimator per Gender.srt 3.09KB
17. Python - MAE and RSME.mp4 24.02MB
17. Python - MAE and RSME.srt 5.29KB
18 589.19KB
18. Extra Resources and Survival Analysis Challenge.mp4 21.42MB
18. Extra Resources and Survival Analysis Challenge.srt 4.94KB
18. Python - Challenge solutions.mp4 70.68MB
18. Python - Challenge solutions.srt 13.55KB
18. SHAP.mp4 17.55MB
18. SHAP.srt 5.86KB
19 307.91KB
19. Python - Preparing SHAP.mp4 4.93MB
19. Python - Preparing SHAP.srt 1.48KB
19. Python - Survival Analysis Challenge Solutions.mp4 48.41MB
19. Python - Survival Analysis Challenge Solutions.srt 9.88KB
2 570.13KB
2. Case Study Briefing and Clustering.mp4 14.33MB
2. Case Study Briefing and Clustering.srt 5.77KB
2. Case Study Briefing and Step by Step Guide.mp4 12.69MB
2. Case Study Briefing and Step by Step Guide.mp4 9.59MB
2. Case Study Briefing and Step by Step Guide.mp4 6.25MB
2. Case Study Briefing and Step by Step Guide.srt 3.52KB
2. Case Study Briefing and Step by Step Guide.srt 3.32KB
2. Case Study Briefing and Step by Step Guide.srt 3.12KB
2. Cox Proportional Hazard Regression.mp4 14.78MB
2. Cox Proportional Hazard Regression.srt 4.20KB
2. Knowledge Requirements.mp4 20.69MB
2. Knowledge Requirements.srt 1.39KB
2. LIME.mp4 15.24MB
2. LIME.srt 4.82KB
2. Step by Step Guide and Case Study Briefing.mp4 11.16MB
2. Step by Step Guide and Case Study Briefing.srt 3.03KB
2. Survival Analyisis Introduction.mp4 15.53MB
2. Survival Analyisis Introduction.srt 4.74KB
2. What is Dimension Reduction.mp4 21.20MB
2. What is Dimension Reduction.srt 5.78KB
20 445.95KB
20. Python - Local Interpretability.mp4 33.52MB
20. Python - Local Interpretability.srt 6.53KB
21 99.43KB
21. Python - Dependency Plots.mp4 14.32MB
21. Python - Dependency Plots.srt 3.89KB
22 189.80KB
22. Python - Global Interpretability.mp4 10.78MB
22. Python - Global Interpretability.srt 2.83KB
23 515.51KB
23. Extra Resources and Challenge.mp4 21.90MB
23. Extra Resources and Challenge.srt 6.35KB
24 560.60KB
24. Python - Challenge Solutions.mp4 75.44MB
24. Python - Challenge Solutions.srt 15.02KB
25 576.76KB
26 111.17KB
27 981.33KB
28 491.01KB
29 608.45KB
3 331.28KB
3. Case Study Briefing and Step by Step Guide.mp4 7.24MB
3. Case Study Briefing and Step by Step Guide.mp4 6.07MB
3. Case Study Briefing and Step by Step Guide.srt 2.87KB
3. Case Study Briefing and Step by Step Guide.srt 2.79KB
3. Gaussian Mixture Model vs. Kmeans.mp4 23.60MB
3. Gaussian Mixture Model vs. Kmeans.srt 7.62KB
3. Principal Component Analysis.mp4 12.97MB
3. Principal Component Analysis.srt 4.35KB
3. Problem Statement.mp4 12.71MB
3. Problem Statement.srt 4.31KB
3. Python - Importing Libraries.mp4 16.51MB
3. Python - Importing Libraries.mp4 9.86MB
3. Python - Importing Libraries.mp4 8.77MB
3. Python - Importing Libraries.srt 3.07KB
3. Python - Importing Libraries.srt 2.29KB
3. Python - Importing Libraries.srt 1.86KB
3. Python - Preparing LIME.mp4 58.27MB
3. Python - Preparing LIME.srt 9.62KB
3. Your resources.html 407B
30 236.54KB
31 506.17KB
32 536.17KB
33 654.26KB
34 747.00KB
35 863.83KB
36 694.99KB
37 855.27KB
38 273.34KB
39 981.43KB
4 829.16KB
4. Course Resources, Material, and Colab setup - Important!.mp4 43.47MB
4. Course Resources, Material, and Colab setup - Important!.srt 7.44KB
4. Python - Changing Directory and Importing Libraries.mp4 13.78MB
4. Python - Changing Directory and Importing Libraries.srt 3.01KB
4. Python - Explaining Predictions.mp4 29.48MB
4. Python - Explaining Predictions.srt 4.69KB
4. Python - Importing Libraries.mp4 14.91MB
4. Python - Importing Libraries.mp4 13.90MB
4. Python - Importing Libraries.srt 4.53KB
4. Python - Importing Libraries.srt 3.83KB
4. Python - Installing libraries.mp4 18.11MB
4. Python - Installing libraries.srt 4.13KB
4. Python - Loading Data.mp4 16.38MB
4. Python - Loading Data.mp4 12.23MB
4. Python - Loading Data.mp4 10.35MB
4. Python - Loading Data.srt 2.82KB
4. Python - Loading Data.srt 2.22KB
4. Python - Loading Data.srt 2.00KB
4. Python - Preparing Script and Data.mp4 34.04MB
4. Python - Preparing Script and Data.srt 5.63KB
40 654.22KB
41 91.49KB
42 358.23KB
43 408.77KB
44 455.61KB
45 781.72KB
46 1002.54KB
47 411.42KB
48 414.31KB
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5. Association Rule Learning.mp4 19.34MB
5. Association Rule Learning.srt 6.46KB
5. Extra Resources and Challenge.mp4 23.05MB
5. Extra Resources and Challenge.srt 5.73KB
5. Introducing XGBoost.mp4 11.05MB
5. Introducing XGBoost.srt 4.08KB
5. Let's connect!.html 490B
5. Python - Cox Proportional Hazard.mp4 25.36MB
5. Python - Cox Proportional Hazard.srt 4.60KB
5. Python - Importing Libraries and Data.mp4 18.52MB
5. Python - Importing Libraries and Data.srt 3.01KB
5. Python - Loading Data.mp4 17.03MB
5. Python - Loading Data.mp4 14.03MB
5. Python - Loading Data.mp4 11.52MB
5. Python - Loading Data.srt 3.32KB
5. Python - Loading Data.srt 2.95KB
5. Python - Loading Data.srt 2.96KB
5. Python - Transforming Categorical Variables.mp4 10.56MB
5. Python - Transforming Categorical Variables.srt 1.85KB
50 972.56KB
51 959.26KB
52 99.11KB
53 148.39KB
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56 820.06KB
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6 340.20KB
6. AIC, BIC, and Step-by-Step Guide.mp4 10.78MB
6. AIC, BIC, and Step-by-Step Guide.srt 2.96KB
6. How XGBoost works part 1.mp4 11.60MB
6. How XGBoost works part 1.srt 3.96KB
6. Introducing CHAID.mp4 15.27MB
6. Introducing CHAID.srt 6.22KB
6. Python - Challenge Solutions.mp4 69.11MB
6. Python - Challenge Solutions.srt 10.71KB
6. Python - Create Transaction List.mp4 28.36MB
6. Python - Create Transaction List.srt 5.12KB
6. Python - Regression Summary Visualization.mp4 12.44MB
6. Python - Regression Summary Visualization.srt 2.61KB
6. Python - Transforming Dependent Variable.mp4 11.56MB
6. Python - Transforming Dependent Variable.srt 2.07KB
6. Python - Transforming String Variables.mp4 10.57MB
6. Python - Transforming String Variables.srt 2.10KB
6. Random Forest.mp4 21.34MB
6. Random Forest.srt 7.58KB
60 579.01KB
61 829.43KB
62 672.19KB
63 487.66KB
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65 921.15KB
66 173.88KB
67 386.94KB
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7 750.93KB
7. CHAID Statistics and Quirks.mp4 20.86MB
7. CHAID Statistics and Quirks.srt 6.66KB
7. Extra Resources and Challenge.mp4 22.06MB
7. Extra Resources and Challenge.srt 6.39KB
7. How XGBoost works part 2.mp4 12.57MB
7. How XGBoost works part 2.srt 4.55KB
7. Kaplan-Meyer Estimator.mp4 13.39MB
7. Kaplan-Meyer Estimator.srt 3.48KB
7. Python - Correlation Matrix.mp4 24.60MB
7. Python - Correlation Matrix.srt 4.28KB
7. Python - Encoding Transactions.mp4 30.51MB
7. Python - Encoding Transactions.srt 4.81KB
7. Python - Optimal Clusters.mp4 39.56MB
7. Python - Optimal Clusters.srt 7.67KB
7. Python - Training and Test Set.mp4 20.43MB
7. Python - Training and Test Set.srt 4.29KB
70 995.34KB
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73 638.94KB
74 92.34KB
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8. Apriori algorithm.mp4 10.94MB
8. Apriori algorithm.srt 3.13KB
8. Censoring.mp4 13.33MB
8. Censoring.srt 3.89KB
8. Python - Gaussian Mixture Model.mp4 7.69MB
8. Python - Gaussian Mixture Model.srt 1.74KB
8. Python - Random Forest.mp4 7.65MB
8. Python - Random Forest.srt 1.90KB
8. Python - Removing column and unique values check.mp4 20.72MB
8. Python - Removing column and unique values check.srt 3.78KB
8. Python - Solution Challenges.mp4 43.50MB
8. Python - Solution Challenges.srt 7.62KB
8. Python - Standardizing Variables.mp4 15.20MB
8. Python - Standardizing Variables.srt 3.49KB
8. XGBoost quirks.mp4 3.28MB
8. XGBoost quirks.srt 1.43KB
80 848.36KB
81 91.39KB
82 228.88KB
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9. Confusion Matrix, AUC, and F1-Score.mp4 27.16MB
9. Confusion Matrix, AUC, and F1-Score.srt 8.08KB
9. Python - Association Rule Learning.mp4 42.74MB
9. Python - Association Rule Learning.srt 6.35KB
9. Python - Cluster Prediction.mp4 24.56MB
9. Python - Cluster Prediction.srt 4.26KB
9. Python - Isolate X and Y.mp4 4.95MB
9. Python - Isolate X and Y.srt 1.42KB
9. Python - Kaplan-Meyer Estimator.mp4 15.21MB
9. Python - Kaplan-Meyer Estimator.srt 3.42KB
9. Python - Optimal Number of Components.mp4 24.91MB
9. Python - Optimal Number of Components.srt 4.29KB
9. Python - Visualizing Jobs Variable.mp4 7.85MB
9. Python - Visualizing Jobs Variable.srt 2.07KB
90 222.33KB
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94 31.05KB
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TutsNode.com.txt 63B
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