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| 1. Dropping Columns with Low Correlation.mp4 |
24.77Мб |
| 1. Dropping Columns with Low Correlation.srt |
5.19Кб |
| 1. Examining Missing Values.mp4 |
42.38Мб |
| 1. Examining Missing Values.srt |
13.18Кб |
| 1. First Step to the Hearth Attack Prediction Project.mp4 |
108.57Мб |
| 1. First Step to the Hearth Attack Prediction Project.srt |
21.40Кб |
| 1. Logistic Regression.mp4 |
27.30Мб |
| 1. Logistic Regression.srt |
9.07Кб |
| 1. Machine Learning with Real Hearth Attack Prediction Project.html |
266б |
| 1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 |
74.57Мб |
| 1. Numeric Variables (Analysis with Distplot) Lesson 1.srt |
20.18Кб |
| 1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 |
45.33Мб |
| 1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt |
11.32Кб |
| 1. Project Conclusion and Sharing.mp4 |
26.95Мб |
| 1. Project Conclusion and Sharing.srt |
4.91Кб |
| 1. Required Python Libraries.mp4 |
58.76Мб |
| 1. Required Python Libraries.srt |
12.84Кб |
| 10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 |
10.62Мб |
| 10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt |
3.10Кб |
| 10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 |
64.00Мб |
| 10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt |
15.39Кб |
| 11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 |
35.96Мб |
| 11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt |
10.15Кб |
| 11. Separating Data into Test and Training Set.mp4 |
27.77Мб |
| 11. Separating Data into Test and Training Set.srt |
9.45Кб |
| 12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 |
32.78Мб |
| 12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt |
10.35Кб |
| 13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 |
33.73Мб |
| 13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt |
8.68Кб |
| 14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 |
82.49Мб |
| 14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt |
16.04Кб |
| 2. Cross Validation.mp4 |
28.16Мб |
| 2. Cross Validation.srt |
7.63Кб |
| 2. Examining Unique Values.mp4 |
41.01Мб |
| 2. Examining Unique Values.srt |
12.93Кб |
| 2. FAQ about Machine Learning, Data Science.html |
15.29Кб |
| 2. Loading the Statistics Dataset in Data Science.mp4 |
9.32Мб |
| 2. Loading the Statistics Dataset in Data Science.srt |
2.68Кб |
| 2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 |
18.33Мб |
| 2. Numeric Variables (Analysis with Distplot) Lesson 2.srt |
5.28Кб |
| 2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 |
32.76Мб |
| 2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt |
9.66Кб |
| 2. Visualizing Outliers.mp4 |
32.72Мб |
| 2. Visualizing Outliers.srt |
11.86Кб |
| 3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 |
69.02Мб |
| 3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt |
19.70Кб |
| 3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 |
22.32Мб |
| 3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt |
4.99Кб |
| 3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 |
39.97Мб |
| 3. Dealing with Outliers – Trtbps Variable Lesson 1.srt |
13.66Кб |
| 3. Initial analysis on the dataset.mp4 |
58.67Мб |
| 3. Initial analysis on the dataset.srt |
18.18Кб |
| 3. Notebook Design to be Used in the Project.mp4 |
97.66Мб |
| 3. Notebook Design to be Used in the Project.srt |
20.32Кб |
| 3. Roc Curve and Area Under Curve (AUC).mp4 |
38.63Мб |
| 3. Roc Curve and Area Under Curve (AUC).srt |
10.20Кб |
| 3. Separating variables (Numeric or Categorical).mp4 |
14.74Мб |
| 3. Separating variables (Numeric or Categorical).srt |
4.63Кб |
| 4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 |
77.98Мб |
| 4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt |
20.92Кб |
| 4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 |
52.33Мб |
| 4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt |
16.70Кб |
| 4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 |
40.84Мб |
| 4. Dealing with Outliers – Trtbps Variable Lesson 2.srt |
15.20Кб |
| 4. Examining Statistics of Variables.mp4 |
84.27Мб |
| 4. Examining Statistics of Variables.srt |
24.61Кб |
| 4. Hyperparameter Optimization (with GridSearchCV).mp4 |
54.75Мб |
| 4. Hyperparameter Optimization (with GridSearchCV).srt |
17.41Кб |
| 4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html |
108б |
| 5. Dealing with Outliers – Thalach Variable.mp4 |
33.69Мб |
| 5. Dealing with Outliers – Thalach Variable.srt |
11.17Кб |
| 5. Decision Tree Algorithm.mp4 |
24.03Мб |
| 5. Decision Tree Algorithm.srt |
7.39Кб |
| 5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 |
26.56Мб |
| 5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt |
7.09Кб |
| 5. Examining the Missing Data According to the Analysis Result.mp4 |
49.98Мб |
| 5. Examining the Missing Data According to the Analysis Result.srt |
13.88Кб |
| 5. Examining the Project Topic.mp4 |
71.67Мб |
| 5. Examining the Project Topic.srt |
13.93Кб |
| 6. Dealing with Outliers – Oldpeak Variable.mp4 |
33.33Мб |
| 6. Dealing with Outliers – Oldpeak Variable.srt |
10.95Кб |
| 6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 |
43.90Мб |
| 6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt |
8.91Кб |
| 6. Recognizing Variables In Dataset.mp4 |
115.34Мб |
| 6. Recognizing Variables In Dataset.srt |
23.83Кб |
| 6. Support Vector Machine Algorithm.mp4 |
22.69Мб |
| 6. Support Vector Machine Algorithm.srt |
6.62Кб |
| 7. Determining Distributions of Numeric Variables.mp4 |
23.33Мб |
| 7. Determining Distributions of Numeric Variables.srt |
6.54Кб |
| 7. Feature Scaling with the Robust Scaler Method.mp4 |
32.65Мб |
| 7. Feature Scaling with the Robust Scaler Method.srt |
11.66Кб |
| 7. Random Forest Algorithm.mp4 |
27.73Мб |
| 7. Random Forest Algorithm.srt |
8.38Кб |
| 8. Creating a New DataFrame with the Melt() Function.mp4 |
48.78Мб |
| 8. Creating a New DataFrame with the Melt() Function.srt |
15.14Кб |
| 8. Hyperparameter Optimization (with GridSearchCV).mp4 |
48.56Мб |
| 8. Hyperparameter Optimization (with GridSearchCV).srt |
14.42Кб |
| 8. Transformation Operations on Unsymmetrical Data.mp4 |
22.18Мб |
| 8. Transformation Operations on Unsymmetrical Data.srt |
6.32Кб |
| 9. Applying One Hot Encoding Method to Categorical Variables.mp4 |
22.41Мб |
| 9. Applying One Hot Encoding Method to Categorical Variables.srt |
7.63Кб |
| 9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 |
39.27Мб |
| 9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt |
8.33Кб |
| Bonus Resources.txt |
386б |
| Get Bonus Downloads Here.url |
183б |