Udemy - Kaggle Masterclass - build a Machine Learning Portfolio

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Udemy - Kaggle Masterclass - build a Machine Learning Portfolio

Torrent Contents Size: 1.4 GB

Udemy - Kaggle Masterclass - build a Machine Learning Portfolio
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1. Installing and Authenticating.mp4
MP4
15.4 MB
1. Installing and Authenticating.srt
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1.8 KB
1. Introduction to Avocado Prices Dataset.mp4
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6.5 MB
1. Introduction to Avocado Prices Dataset.srt
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1. Introduction to House Prices - Advanced Regression Techniques Competition.mp4
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17.5 MB
1. Introduction to House Prices - Advanced Regression Techniques Competition.srt
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1. Introduction to Survival Analysis.mp4
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18.7 MB
1. Introduction to Survival Analysis.srt
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1. Introduction to Telco Customer Churn Dataset.mp4
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19.7 MB
1. Introduction to Telco Customer Churn Dataset.srt
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1. Introduction to the Iris Species Dataset.mp4
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1. Introduction to the Iris Species Dataset.srt
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1. Introduction to the Titanic - Machine Learning from Disaster Competition.mp4
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50.7 MB
1. Introduction to the Titanic - Machine Learning from Disaster Competition.srt
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1. Kaggle Categories and Performance Tiers.mp4
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1. Kaggle Categories and Performance Tiers.srt
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1. Kaggle Competitions.mp4
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57 MB
1. Kaggle Competitions.srt
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1. New York City Taxi Trip Duration Prediction and Anomaly Detection Notebook.html
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204.8 B
1. Types of Datasets on Kaggle.mp4
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34.5 MB
1. Types of Datasets on Kaggle.srt
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1. Types of Kaggle Kernels.mp4
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15 MB
1. Types of Kaggle Kernels.srt
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10. Kernel Metadata File.mp4
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10. Kernel Metadata File.srt
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11. Push and Pull a Kernel.mp4
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8.6 MB
11. Push and Pull a Kernel.srt
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12. Checking the Status and Output of a Kernel.mp4
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10.2 MB
12. Checking the Status and Output of a Kernel.srt
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13. Creating and Running a New Kernel.mp4
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14.2 MB
13. Creating and Running a New Kernel.srt
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14. Creating and Running a New Kernel Version.mp4
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17.8 MB
14. Creating and Running a New Kernel Version.srt
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15. Configurations.mp4
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18.3 MB
15. Configurations.srt
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2.7 KB
2. Avocado Price Forecasting using Facebook Prophet.mp4
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39.2 MB
2. Avocado Price Forecasting using Facebook Prophet.srt
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8.6 KB
2. Censorship.mp4
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26.6 MB
2. Censorship.srt
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4.6 KB
2. Coding an Iris Species Classifier in Sci-kit Learn.mp4
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39.8 MB
2. Coding an Iris Species Classifier in Sci-kit Learn.srt
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10.8 KB
2. Competition Formats.mp4
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24.4 MB
2. Competition Formats.srt
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5.3 KB
2. House Prices Dataset Description.mp4
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40.1 MB
2. House Prices Dataset Description.srt
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7.3 KB
2. Implementing a Model to Predict Survival of Titanic Passengers.mp4
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68 MB
2. Implementing a Model to Predict Survival of Titanic Passengers.srt
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18.5 KB
2. Kaggle API with Competitions.mp4
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11.4 MB
2. Kaggle API with Competitions.srt
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1.4 KB
2. Kaggle Medals.mp4
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9 MB
2. Kaggle Medals.srt
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2. Searching for Datasets.mp4
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26.3 MB
2. Searching for Datasets.srt
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4.1 KB
2. Searching for Kernels.mp4
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22.1 MB
2. Searching for Kernels.srt
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4.4 KB
2. Telco Customer Churn Pipeline Data Analysis and Visualization.mp4
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53.8 MB
2. Telco Customer Churn Pipeline Data Analysis and Visualization.srt
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10.2 KB
3. Avocado Price Forecasting using Facebook Prophet Project Notebook.html
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204.8 B
3. Creating a Dataset.mp4
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32.7 MB
3. Creating a Dataset.srt
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6.4 KB
3. House Price Prediction using Random Forest.mp4
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121.3 MB
3. House Price Prediction using Random Forest.srt
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23.6 KB
3. Iris Species Classifier Project Notebook.html
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204.8 B
3. Joining a Competition.mp4
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14.1 MB
3. Joining a Competition.srt
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3. Kernel Editor.mp4
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11.1 MB
3. Kernel Editor.srt
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3. Listing Competitions and Competition Files.mp4
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19.5 MB
3. Listing Competitions and Competition Files.srt
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2.6 KB
3. More on Kaggle Progression.mp4
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8.7 MB
3. More on Kaggle Progression.srt
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2.2 KB
3. Telco Customer Churn Pipeline Data Preprocessing.mp4
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32.8 MB
3. Telco Customer Churn Pipeline Data Preprocessing.srt
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5.7 KB
3. The Survival Function and the Hazard Function.mp4
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18.3 MB
3. The Survival Function and the Hazard Function.srt
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2.8 KB
3. Titanic - Machine Learning from Disaster Project Notebook.html
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204.8 B
4. Data Sources.mp4
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7.3 MB
4. Data Sources.srt
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4. Downloading a Competition.mp4
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11.4 MB
4. Downloading a Competition.srt
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4. Forming a Team.mp4
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11.3 MB
4. Forming a Team.srt
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4. House Price Prediction using Random Forest Project Notebook.html
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204.8 B
4. Kaplan-Meier Estimate and Nelson Aalen Fitter.srt
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4. Organizations and Dataset Collaborations.mp4
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25 MB
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4. Kaplan-Meier Estimate and Nelson Aalen Fitter.mp4
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22 MB
4. Organizations and Dataset Collaborations.srt
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4. Survival Analysis to predict Churn using Kaplan-Meier Estimate.mp4
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50.2 MB
4. Survival Analysis to predict Churn using Kaplan-Meier Estimate.srt
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9.3 KB
5. Collaborating on Kernels.mp4
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6.6 MB
5. Collaborating on Kernels.srt
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5. Kaggle API with Datasets.mp4
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12.1 MB
5. Kaggle API with Datasets.srt
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5. Kaggle Datasets - Technical Specifications.mp4
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11.6 MB
5. Kaggle Datasets - Technical Specifications.srt
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5. Making a Submission.mp4
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5. Making a Submission.srt
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5. Survival Regression - Cox Proportional Hazard Regression Model.mp4
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52.2 MB
5. Survival Regression - Cox Proportional Hazard Regression Model.srt
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5. Survival Regression Analysis using Cox Proportional Hazard Regression Model.mp4
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78.1 MB
5. Survival Regression Analysis using Cox Proportional Hazard Regression Model.srt
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6. Data Leakage.mp4
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9.8 MB
6. Data Leakage.srt
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6. Listing and Downloading Datasets.mp4
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6. Listing and Downloading Datasets.srt
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6. More on Kaggle Kernels.mp4
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21.5 MB
6. More on Kaggle Kernels.srt
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6. Survival Regression Analysis to Predict Churn Project Notebook.html
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7. Creating and Maintaining Datasets.mp4
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23 MB
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7. Creating and Maintaining Datasets.srt
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7. Kaggle Kernels - Technical Specifications.mp4
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7.9 MB
7. Kaggle Kernels - Technical Specifications.srt
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8. Kaggle API with Kernels.mp4
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14 MB
8. Kaggle API with Kernels.srt
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9. Listing Kaggle Kernels.mp4
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17.4 MB
9. Listing Kaggle Kernels.srt
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TutsNode.com.txt
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