| File | Dimensione |
|---|
| 1. Introduction/1. Introduction Machine Learning Using Python.mp4 | 48.69 MB |
| 2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 | 68.60 MB |
| 2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 | 70.23 MB |
| 2. Usage of Machine Learning Packages in Python/3. Example of Machine Learning Using Python Continues.mp4 | 34.55 MB |
| 3. Linear Regression/1. Linear Regression in ML.mp4 | 82.94 MB |
| 3. Linear Regression/2. Linear Regression Example.mp4 | 64.70 MB |
| 3. Linear Regression/3. Linear Regression Example Continues.mp4 | 79.74 MB |
| 3. Linear Regression/4. Support Vector Algorithm in ML.mp4 | 81.52 MB |
| 4. Classifier and Python Package/1. Decision Tree Classifier.mp4 | 65.02 MB |
| 4. Classifier and Python Package/2. Random Forest Classification.mp4 | 56.27 MB |
| 4. Classifier and Python Package/3. K Mean Clustering.mp4 | 67.23 MB |
| 4. Classifier and Python Package/4. Apriori Python Package.mp4 | 74.52 MB |
| 4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 | 74.46 MB |
| 5. Evaluation Metrics/1. Evaluation Metrics.mp4 | 60.32 MB |
| 5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 | 97.84 MB |
| 5. Evaluation Metrics/3. Confusion Matix in Evaluation Metrics.mp4 | 55.58 MB |
| 5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 | 116.80 MB |
| 5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 | 74.90 MB |
| 5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 | 63.54 MB |
| 5. Evaluation Metrics/7. Scatter Matrix using Evaluation Metrics.mp4 | 33.78 MB |
| 6. Missing Value/1. Handling Missing Values in Python.mp4 | 63.57 MB |
| 6. Missing Value/2. Handling Missing Values in Python Continues.mp4 | 72.28 MB |
| 6. Missing Value/3. Exception Handling in Python.mp4 | 56.35 MB |
| 6. Missing Value/4. More on Exception Handling in Python.mp4 | 58.69 MB |
| [FreeCourseLab.com].url | 126.00 B |
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