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1. Installing and Authenticating.mp4 |
15.38Мб |
1. Installing and Authenticating.srt |
1.84Кб |
1. Introduction to Avocado Prices Dataset.mp4 |
6.53Мб |
1. Introduction to Avocado Prices Dataset.srt |
1.17Кб |
1. Introduction to House Prices - Advanced Regression Techniques Competition.mp4 |
17.49Мб |
1. Introduction to House Prices - Advanced Regression Techniques Competition.srt |
4.08Кб |
1. Introduction to Survival Analysis.mp4 |
18.71Мб |
1. Introduction to Survival Analysis.srt |
2.84Кб |
1. Introduction to Telco Customer Churn Dataset.mp4 |
19.72Мб |
1. Introduction to Telco Customer Churn Dataset.srt |
3.86Кб |
1. Introduction to the Iris Species Dataset.mp4 |
7.06Мб |
1. Introduction to the Iris Species Dataset.srt |
1.57Кб |
1. Introduction to the Titanic - Machine Learning from Disaster Competition.mp4 |
50.71Мб |
1. Introduction to the Titanic - Machine Learning from Disaster Competition.srt |
12.18Кб |
1. Kaggle Categories and Performance Tiers.mp4 |
20.11Мб |
1. Kaggle Categories and Performance Tiers.srt |
5.67Кб |
1. Kaggle Competitions.mp4 |
56.99Мб |
1. Kaggle Competitions.srt |
11.95Кб |
1. New York City Taxi Trip Duration Prediction and Anomaly Detection Notebook.html |
235б |
1. Types of Datasets on Kaggle.mp4 |
34.45Мб |
1. Types of Datasets on Kaggle.srt |
5.49Кб |
1. Types of Kaggle Kernels.mp4 |
15.04Мб |
1. Types of Kaggle Kernels.srt |
3.77Кб |
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347.65Кб |
10. Kernel Metadata File.mp4 |
8.81Мб |
10. Kernel Metadata File.srt |
1.11Кб |
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50.10Кб |
11. Push and Pull a Kernel.mp4 |
8.56Мб |
11. Push and Pull a Kernel.srt |
1.06Кб |
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219.62Кб |
12. Checking the Status and Output of a Kernel.mp4 |
10.21Мб |
12. Checking the Status and Output of a Kernel.srt |
1.16Кб |
13 |
348.77Кб |
13. Creating and Running a New Kernel.mp4 |
14.17Мб |
13. Creating and Running a New Kernel.srt |
1.40Кб |
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414.63Кб |
14. Creating and Running a New Kernel Version.mp4 |
17.81Мб |
14. Creating and Running a New Kernel Version.srt |
1.19Кб |
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181.37Кб |
15. Configurations.mp4 |
18.35Мб |
15. Configurations.srt |
2.68Кб |
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2. Avocado Price Forecasting using Facebook Prophet.mp4 |
39.16Мб |
2. Avocado Price Forecasting using Facebook Prophet.srt |
8.63Кб |
2. Censorship.mp4 |
26.60Мб |
2. Censorship.srt |
4.56Кб |
2. Coding an Iris Species Classifier in Sci-kit Learn.mp4 |
39.81Мб |
2. Coding an Iris Species Classifier in Sci-kit Learn.srt |
10.80Кб |
2. Competition Formats.mp4 |
24.36Мб |
2. Competition Formats.srt |
5.30Кб |
2. House Prices Dataset Description.mp4 |
40.12Мб |
2. House Prices Dataset Description.srt |
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2. Implementing a Model to Predict Survival of Titanic Passengers.mp4 |
67.98Мб |
2. Implementing a Model to Predict Survival of Titanic Passengers.srt |
18.50Кб |
2. Kaggle API with Competitions.mp4 |
11.39Мб |
2. Kaggle API with Competitions.srt |
1.44Кб |
2. Kaggle Medals.mp4 |
8.95Мб |
2. Kaggle Medals.srt |
2.26Кб |
2. Searching for Datasets.mp4 |
26.32Мб |
2. Searching for Datasets.srt |
4.14Кб |
2. Searching for Kernels.mp4 |
22.10Мб |
2. Searching for Kernels.srt |
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2. Telco Customer Churn Pipeline Data Analysis and Visualization.mp4 |
53.76Мб |
2. Telco Customer Churn Pipeline Data Analysis and Visualization.srt |
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3. Avocado Price Forecasting using Facebook Prophet Project Notebook.html |
236б |
3. Creating a Dataset.mp4 |
32.66Мб |
3. Creating a Dataset.srt |
6.37Кб |
3. House Price Prediction using Random Forest.mp4 |
121.35Мб |
3. House Price Prediction using Random Forest.srt |
23.60Кб |
3. Iris Species Classifier Project Notebook.html |
224б |
3. Joining a Competition.mp4 |
14.07Мб |
3. Joining a Competition.srt |
3.50Кб |
3. Kernel Editor.mp4 |
11.10Мб |
3. Kernel Editor.srt |
2.25Кб |
3. Listing Competitions and Competition Files.mp4 |
19.51Мб |
3. Listing Competitions and Competition Files.srt |
2.62Кб |
3. More on Kaggle Progression.mp4 |
8.74Мб |
3. More on Kaggle Progression.srt |
2.23Кб |
3. Telco Customer Churn Pipeline Data Preprocessing.mp4 |
32.79Мб |
3. Telco Customer Churn Pipeline Data Preprocessing.srt |
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3. The Survival Function and the Hazard Function.mp4 |
18.31Мб |
3. The Survival Function and the Hazard Function.srt |
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3. Titanic - Machine Learning from Disaster Project Notebook.html |
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4. Data Sources.mp4 |
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4. Data Sources.srt |
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4. Downloading a Competition.mp4 |
11.41Мб |
4. Downloading a Competition.srt |
1.46Кб |
4. Forming a Team.mp4 |
11.31Мб |
4. Forming a Team.srt |
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4. House Price Prediction using Random Forest Project Notebook.html |
230б |
4. Kaplan-Meier Estimate and Nelson Aalen Fitter.mp4 |
22.00Мб |
4. Kaplan-Meier Estimate and Nelson Aalen Fitter.srt |
3.45Кб |
4. Organizations and Dataset Collaborations.mp4 |
25.05Мб |
4. Organizations and Dataset Collaborations.srt |
3.46Кб |
4. Survival Analysis to predict Churn using Kaplan-Meier Estimate.mp4 |
50.18Мб |
4. Survival Analysis to predict Churn using Kaplan-Meier Estimate.srt |
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5. Collaborating on Kernels.mp4 |
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5. Collaborating on Kernels.srt |
1.28Кб |
5. Kaggle API with Datasets.mp4 |
12.12Мб |
5. Kaggle API with Datasets.srt |
1.04Кб |
5. Kaggle Datasets - Technical Specifications.mp4 |
11.58Мб |
5. Kaggle Datasets - Technical Specifications.srt |
1.44Кб |
5. Making a Submission.mp4 |
16.02Мб |
5. Making a Submission.srt |
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5. Survival Regression Analysis using Cox Proportional Hazard Regression Model.mp4 |
78.05Мб |
5. Survival Regression Analysis using Cox Proportional Hazard Regression Model.srt |
13.64Кб |
5. Survival Regression - Cox Proportional Hazard Regression Model.mp4 |
52.24Мб |
5. Survival Regression - Cox Proportional Hazard Regression Model.srt |
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6. Data Leakage.mp4 |
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6. Data Leakage.srt |
2.92Кб |
6. Listing and Downloading Datasets.mp4 |
16.28Мб |
6. Listing and Downloading Datasets.srt |
1.97Кб |
6. More on Kaggle Kernels.mp4 |
21.52Мб |
6. More on Kaggle Kernels.srt |
5.24Кб |
6. Survival Regression Analysis to Predict Churn Project Notebook.html |
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330.94Кб |
7. Creating and Maintaining Datasets.mp4 |
23.00Мб |
7. Creating and Maintaining Datasets.srt |
2.62Кб |
7. Kaggle Kernels - Technical Specifications.mp4 |
7.87Мб |
7. Kaggle Kernels - Technical Specifications.srt |
1.77Кб |
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389.83Кб |
8. Kaggle API with Kernels.mp4 |
13.99Мб |
8. Kaggle API with Kernels.srt |
1.31Кб |
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199.08Кб |
9. Listing Kaggle Kernels.mp4 |
17.40Мб |
9. Listing Kaggle Kernels.srt |
2.23Кб |
TutsNode.com.txt |
63б |