Download Udemy - Machine Learning Project - Heart Attack Prediction Analysis Torrent

Torrent Contents Size: 2.1 GB

Udemy - Machine Learning Project - Heart Attack Prediction Analysis

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1. Dropping Columns with Low Correlation.mp4	MP4	24.8 MB
1. Dropping Columns with Low Correlation.srt	SRT	5.2 KB
1. Examining Missing Values.mp4	MP4	42.4 MB
1. Examining Missing Values.srt	SRT	13.2 KB
1. First Step to the Hearth Attack Prediction Project.mp4	MP4	108.6 MB
1. First Step to the Hearth Attack Prediction Project.srt	SRT	21.4 KB
1. Logistic Regression.mp4	MP4	27.3 MB
1. Logistic Regression.srt	SRT	9.1 KB
1. Machine Learning with Real Hearth Attack Prediction Project.html	HTML	307.2 B
1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4	MP4	74.6 MB
1. Numeric Variables (Analysis with Distplot) Lesson 1.srt	SRT	20.2 KB
1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4	MP4	45.3 MB
1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt	SRT	11.3 KB
1. Project Conclusion and Sharing.mp4	MP4	27 MB
1. Project Conclusion and Sharing.srt	SRT	4.9 KB
1. Required Python Libraries.mp4	MP4	58.8 MB
1. Required Python Libraries.srt	SRT	12.8 KB
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4	MP4	10.6 MB
10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt	SRT	3.1 KB
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4	MP4	64 MB
10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt	SRT	15.4 KB
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4	MP4	36 MB
11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt	SRT	10.1 KB
11. Separating Data into Test and Training Set.mp4	MP4	27.8 MB
11. Separating Data into Test and Training Set.srt	SRT	9.4 KB
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4	MP4	32.8 MB
12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt	SRT	10.3 KB
13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4	MP4	33.7 MB
13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt	SRT	8.7 KB
14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4	MP4	82.5 MB
14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt	SRT	16 KB
2. Cross Validation.mp4	MP4	28.2 MB
2. Cross Validation.srt	SRT	7.6 KB
2. Examining Unique Values.mp4	MP4	41 MB
2. Examining Unique Values.srt	SRT	12.9 KB
2. FAQ about Machine Learning, Data Science.html	HTML	15.3 KB
2. Loading the Statistics Dataset in Data Science.mp4	MP4	9.3 MB
2. Loading the Statistics Dataset in Data Science.srt	SRT	2.7 KB
2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4	MP4	18.3 MB
2. Numeric Variables (Analysis with Distplot) Lesson 2.srt	SRT	5.3 KB
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4	MP4	32.8 MB
2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt	SRT	9.7 KB
2. Visualizing Outliers.mp4	MP4	32.7 MB
2. Visualizing Outliers.srt	SRT	11.9 KB
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4	MP4	69 MB
3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt	SRT	19.7 KB
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4	MP4	22.3 MB
3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt	SRT	5 KB
3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4	MP4	40 MB
3. Dealing with Outliers – Trtbps Variable Lesson 1.srt	SRT	13.7 KB
3. Initial analysis on the dataset.mp4	MP4	58.7 MB
3. Initial analysis on the dataset.srt	SRT	18.2 KB
3. Notebook Design to be Used in the Project.mp4	MP4	97.7 MB
3. Notebook Design to be Used in the Project.srt	SRT	20.3 KB
3. Roc Curve and Area Under Curve (AUC).mp4	MP4	38.6 MB
3. Roc Curve and Area Under Curve (AUC).srt	SRT	10.2 KB
3. Separating variables (Numeric or Categorical).mp4	MP4	14.7 MB
3. Separating variables (Numeric or Categorical).srt	SRT	4.6 KB
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4	MP4	78 MB
4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt	SRT	20.9 KB
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4	MP4	52.3 MB
4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt	SRT	16.7 KB
4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4	MP4	40.8 MB
4. Dealing with Outliers – Trtbps Variable Lesson 2.srt	SRT	15.2 KB
4. Examining Statistics of Variables.mp4	MP4	84.3 MB
4. Examining Statistics of Variables.srt	SRT	24.6 KB
4. Hyperparameter Optimization (with GridSearchCV).mp4	MP4	54.7 MB
4. Hyperparameter Optimization (with GridSearchCV).srt	SRT	17.4 KB
4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html	HTML	102.4 B
5. Dealing with Outliers – Thalach Variable.mp4	MP4	33.7 MB
5. Dealing with Outliers – Thalach Variable.srt	SRT	11.2 KB
5. Decision Tree Algorithm.mp4	MP4	24 MB
5. Decision Tree Algorithm.srt	SRT	7.4 KB
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4	MP4	26.6 MB
5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt	SRT	7.1 KB
5. Examining the Missing Data According to the Analysis Result.mp4	MP4	50 MB
5. Examining the Missing Data According to the Analysis Result.srt	SRT	13.9 KB
5. Examining the Project Topic.mp4	MP4	71.7 MB
5. Examining the Project Topic.srt	SRT	13.9 KB
6. Dealing with Outliers – Oldpeak Variable.mp4	MP4	33.3 MB
6. Dealing with Outliers – Oldpeak Variable.srt	SRT	11 KB
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4	MP4	43.9 MB
6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt	SRT	8.9 KB
6. Recognizing Variables In Dataset.mp4	MP4	115.3 MB
6. Recognizing Variables In Dataset.srt	SRT	23.8 KB
6. Support Vector Machine Algorithm.mp4	MP4	22.7 MB
6. Support Vector Machine Algorithm.srt	SRT	6.6 KB
7. Determining Distributions of Numeric Variables.mp4	MP4	23.3 MB
7. Determining Distributions of Numeric Variables.srt	SRT	6.5 KB
7. Feature Scaling with the Robust Scaler Method.mp4	MP4	32.6 MB
7. Feature Scaling with the Robust Scaler Method.srt	SRT	11.7 KB
7. Random Forest Algorithm.mp4	MP4	27.7 MB
7. Random Forest Algorithm.srt	SRT	8.4 KB
8. Creating a New DataFrame with the Melt() Function.mp4	MP4	48.8 MB
8. Creating a New DataFrame with the Melt() Function.srt	SRT	15.1 KB
8. Hyperparameter Optimization (with GridSearchCV).mp4	MP4	48.6 MB
8. Hyperparameter Optimization (with GridSearchCV).srt	SRT	14.4 KB
8. Transformation Operations on Unsymmetrical Data.mp4	MP4	22.2 MB
8. Transformation Operations on Unsymmetrical Data.srt	SRT	6.3 KB
9. Applying One Hot Encoding Method to Categorical Variables.mp4	MP4	22.4 MB
9. Applying One Hot Encoding Method to Categorical Variables.srt	SRT	7.6 KB
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4	MP4	39.3 MB
9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt	SRT	8.3 KB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Machine Learning Project - Heart Attack Prediction Analysis

Torrent Contents Size: 2.1 GB

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