Torrent details for "Udemy Machine Learning Project Heart Attack Prediction Analysis" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
English
Total Size:
2.1 GB
Info Hash:
0FA7D08FE1762304D7DB2AABC23167B80FB51209
Added By:
Added:
Oct. 23, 2023, 3:01 p.m.
Stats:
|
(Last updated: May 16, 2025, 6:25 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 1. First Step to the Hearth Attack Prediction Project.mp4 | 108.6 MB |
| 1. First Step to the Hearth Attack Prediction Project.srt | 21.4 KB |
| 2. FAQ about Machine Learning, Data Science.html | 15.3 KB |
| 3. Notebook Design to be Used in the Project.mp4 | 97.7 MB |
| 3. Notebook Design to be Used in the Project.srt | 20.3 KB |
| 4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html | 108 bytes |
| 5. Examining the Project Topic.mp4 | 71.7 MB |
| 5. Examining the Project Topic.srt | 13.9 KB |
| 6. Recognizing Variables In Dataset.mp4 | 115.3 MB |
| 6. Recognizing Variables In Dataset.srt | 23.8 KB |
| 1. Required Python Libraries.mp4 | 58.8 MB |
| 1. Required Python Libraries.srt | 12.8 KB |
| 2. Loading the Statistics Dataset in Data Science.mp4 | 9.3 MB |
| 2. Loading the Statistics Dataset in Data Science.srt | 2.7 KB |
| 3. Initial analysis on the dataset.mp4 | 58.7 MB |
| 3. Initial analysis on the dataset.srt | 18.2 KB |
| 1. Examining Missing Values.mp4 | 42.4 MB |
| 1. Examining Missing Values.srt | 13.2 KB |
| 2. Examining Unique Values.mp4 | 41.0 MB |
| 2. Examining Unique Values.srt | 12.9 KB |
| 3. Separating variables (Numeric or Categorical).mp4 | 14.7 MB |
| 3. Separating variables (Numeric or Categorical).srt | 4.6 KB |
| 4. Examining Statistics of Variables.mp4 | 84.3 MB |
| 4. Examining Statistics of Variables.srt | 24.6 KB |
| 1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 | 74.6 MB |
| 1. Numeric Variables (Analysis with Distplot) Lesson 1.srt | 20.2 KB |
| 2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 | 18.3 MB |
| 2. Numeric Variables (Analysis with Distplot) Lesson 2.srt | 5.3 KB |
| 3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 | 69.0 MB |
| 3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt | 19.7 KB |
| 4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 | 78.0 MB |
| 4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt | 20.9 KB |
| 5. Examining the Missing Data According to the Analysis Result.mp4 | 50.0 MB |
| 5. Examining the Missing Data According to the Analysis Result.srt | 13.9 KB |
| 1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 | 45.3 MB |
| 1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt | 11.3 KB |
| 10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 | 64.0 MB |
| 10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt | 15.4 KB |
| 11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 | 36.0 MB |
| 11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt | 10.1 KB |
| 12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 | 32.8 MB |
| 12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt | 10.3 KB |
| 13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 | 33.7 MB |
| 13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt | 8.7 KB |
| 14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 | 82.5 MB |
| 14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt | 16.0 KB |
| 2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 | 32.8 MB |
| 2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt | 9.7 KB |
| 3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 | 22.3 MB |
| 3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt | 5.0 KB |
| 4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 | 52.3 MB |
| 4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt | 16.7 KB |
| 5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 | 26.6 MB |
| 5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt | 7.1 KB |
| 6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 | 43.9 MB |
| 6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt | 8.9 KB |
| 7. Feature Scaling with the Robust Scaler Method.mp4 | 32.6 MB |
| 7. Feature Scaling with the Robust Scaler Method.srt | 11.7 KB |
| 8. Creating a New DataFrame with the Melt() Function.mp4 | 48.8 MB |
| 8. Creating a New DataFrame with the Melt() Function.srt | 15.1 KB |
| 9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 | 39.3 MB |
| 9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt | 8.3 KB |
| 1. Dropping Columns with Low Correlation.mp4 | 24.8 MB |
| 1. Dropping Columns with Low Correlation.srt | 5.2 KB |
| 10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 | 10.6 MB |
| 10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt | 3.1 KB |
| 11. Separating Data into Test and Training Set.mp4 | 27.8 MB |
| 11. Separating Data into Test and Training Set.srt | 9.4 KB |
| 2. Visualizing Outliers.mp4 | 32.7 MB |
| 2. Visualizing Outliers.srt | 11.9 KB |
| 3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 | 40.0 MB |
| 3. Dealing with Outliers – Trtbps Variable Lesson 1.srt | 13.7 KB |
| 4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 | 40.8 MB |
| 4. Dealing with Outliers – Trtbps Variable Lesson 2.srt | 15.2 KB |
| 5. Dealing with Outliers – Thalach Variable.mp4 | 33.7 MB |
| 5. Dealing with Outliers – Thalach Variable.srt | 11.2 KB |
| 6. Dealing with Outliers – Oldpeak Variable.mp4 | 33.3 MB |
| 6. Dealing with Outliers – Oldpeak Variable.srt | 11.0 KB |
| 7. Determining Distributions of Numeric Variables.mp4 | 23.3 MB |
| 7. Determining Distributions of Numeric Variables.srt | 6.5 KB |
| 8. Transformation Operations on Unsymmetrical Data.mp4 | 22.2 MB |
| 8. Transformation Operations on Unsymmetrical Data.srt | 6.3 KB |
| 9. Applying One Hot Encoding Method to Categorical Variables.mp4 | 22.4 MB |
| 9. Applying One Hot Encoding Method to Categorical Variables.srt | 7.6 KB |
| 1. Logistic Regression.mp4 | 27.3 MB |
| 1. Logistic Regression.srt | 9.1 KB |
| 2. Cross Validation.mp4 | 28.2 MB |
| 2. Cross Validation.srt | 7.6 KB |
| 3. Roc Curve and Area Under Curve (AUC).mp4 | 38.6 MB |
| 3. Roc Curve and Area Under Curve (AUC).srt | 10.2 KB |
| 4. Hyperparameter Optimization (with GridSearchCV).mp4 | 54.7 MB |
| 4. Hyperparameter Optimization (with GridSearchCV).srt | 17.4 KB |
| 5. Decision Tree Algorithm.mp4 | 24.0 MB |
| 5. Decision Tree Algorithm.srt | 7.4 KB |
| 6. Support Vector Machine Algorithm.mp4 | 22.7 MB |
| 6. Support Vector Machine Algorithm.srt | 6.6 KB |
| 7. Random Forest Algorithm.mp4 | 27.7 MB |
| 7. Random Forest Algorithm.srt | 8.4 KB |
| 8. Hyperparameter Optimization (with GridSearchCV).mp4 | 48.6 MB |
| 8. Hyperparameter Optimization (with GridSearchCV).srt | 14.4 KB |
| 1. Project Conclusion and Sharing.mp4 | 27.0 MB |
| 1. Project Conclusion and Sharing.srt | 4.9 KB |
| 1. Machine Learning with Real Hearth Attack Prediction Project.html | 266 bytes |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
358.7 MB
[23
/
9]
2025-04-03
| Uploaded by freecoursewb | Size 358.7 MB | Health [ 23 /9 ] | Added 2025-04-03 |
-
1.6 GB
[18
/
3]
2023-10-30
| Uploaded by FreeCourseWeb | Size 1.6 GB | Health [ 18 /3 ] | Added 2023-10-30 |
NOTE
SOURCE: Udemy Machine Learning Project Heart Attack Prediction Analysis
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
None
×