[ TutSala.com ] Linkedin - Applied Machine Learning - Ensemble Learning

磁力链接/BT种子名称

[ TutSala.com ] Linkedin - Applied Machine Learning - Ensemble Learning

磁力链接/BT种子简介

种子哈希：cfb75a6a09a2736feec7c66ee9a601ceb7575bd3
文件大小： 1.24G
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收录时间：2022-03-18
最近下载：2025-05-23

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文件列表

  • ~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.mp4 90.0 MB
  • ~Get Your Files Here !/5. Boosting/021. Implement a boosting model.mp4 84.1 MB
  • ~Get Your Files Here !/8. Conclusion/034. Compare the three methods.mp4 66.1 MB
  • ~Get Your Files Here !/7. Stacking/033. Implement a stacking model.mp4 60.2 MB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/008. Bias-Variance trade-off.mp4 52.6 MB
  • ~Get Your Files Here !/3. Preparing the Data/010. Cleaning up continuous features.mp4 49.9 MB
  • ~Get Your Files Here !/3. Preparing the Data/011. Cleaning up categorical features.mp4 49.6 MB
  • ~Get Your Files Here !/3. Preparing the Data/012. Write out all train, validation, and test sets.mp4 47.9 MB
  • ~Get Your Files Here !/6. Bagging/027. Implement a bagging model.mp4 44.9 MB
  • ~Get Your Files Here !/6. Bagging/022. What is bagging.mp4 44.7 MB
  • ~Get Your Files Here !/7. Stacking/028. What is stacking.mp4 40.5 MB
  • ~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.mp4 40.0 MB
  • ~Get Your Files Here !/5. Boosting/016. What is boosting.mp4 39.1 MB
  • ~Get Your Files Here !/4. What is Ensemble Learning/013. What is ensemble learning.mp4 37.9 MB
  • ~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.mp4 37.6 MB
  • ~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.mp4 37.6 MB
  • ~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.mp4 35.5 MB
  • ~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.mp4 34.9 MB
  • ~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.mp4 34.9 MB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.mp4 33.6 MB
  • ~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.mp4 33.4 MB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/007. What does an end-to-end machine learning pipeline look like.mp4 30.6 MB
  • ~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.mp4 30.1 MB
  • ~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.mp4 29.7 MB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/006. What does machine learning look like in real life.mp4 29.7 MB
  • ~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.mp4 27.3 MB
  • ~Get Your Files Here !/3. Preparing the Data/009. Reading in the data.mp4 25.7 MB
  • ~Get Your Files Here !/6. Bagging/024. When should you consider using bagging.mp4 20.9 MB
  • ~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.mp4 20.7 MB
  • ~Get Your Files Here !/6. Bagging/026. Explore bagging algorithms in Python.mp4 20.1 MB
  • ~Get Your Files Here !/1. Introduction/003. What tools you need.mp4 19.1 MB
  • ~Get Your Files Here !/8. Conclusion/036. How to continue advancing your skills.mp4 17.1 MB
  • ~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.mp4 17.0 MB
  • ~Get Your Files Here !/1. Introduction/004. Using the exercise files.mp4 16.1 MB
  • ~Get Your Files Here !/1. Introduction/001. Explore ensemble learning.mp4 14.4 MB
  • ~Get Your Files Here !/1. Introduction/002. What you should know.mp4 11.2 MB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/RF_model.pkl 2.1 MB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/stacked_model.pkl 1.6 MB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/GB_model.pkl 819.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - 02_03 - COMPLETED-checkpoint.ipynb 92.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - COMPLETED-checkpoint.ipynb 91.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/End/02_02 - 02_03.ipynb 84.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/End/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb 84.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/End/02_02 - 02_03.ipynb 70.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/End/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb 70.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/Begin/02_02 - 02_03.ipynb 70.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/Begin/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb 70.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/titanic.csv 61.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_06 - COMPLETED-checkpoint.ipynb 48.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/06_06.ipynb 41.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/ipynb_checkpoints/06_06-checkpoint.ipynb 41.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/titanic_cleaned.csv 24.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_06 - COMPLETED-checkpoint.ipynb 19.3 kB
  • ~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.en.srt 17.4 kB
  • ~Get Your Files Here !/5. Boosting/021. Implement a boosting model.en.srt 14.8 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_03 - COMPLETED-checkpoint.ipynb 14.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/train_features.csv 13.7 kB
  • ~Get Your Files Here !/8. Conclusion/034. Compare the three methods.en.srt 12.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/04_06.ipynb 12.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/ipynb_checkpoints/04_06-checkpoint.ipynb 12.6 kB
  • ~Get Your Files Here !/7. Stacking/033. Implement a stacking model.en.srt 11.2 kB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/008. Bias-Variance trade-off.en.srt 10.4 kB
  • ~Get Your Files Here !/3. Preparing the Data/011. Cleaning up categorical features.en.srt 10.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_01 - COMPLETED-checkpoint.ipynb 9.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_06 - COMPLETED-checkpoint.ipynb 9.4 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_04 - COMPLETED-checkpoint.ipynb 9.4 kB
  • ~Get Your Files Here !/3. Preparing the Data/010. Cleaning up continuous features.en.srt 8.8 kB
  • ~Get Your Files Here !/7. Stacking/028. What is stacking.en.srt 8.5 kB
  • ~Get Your Files Here !/3. Preparing the Data/012. Write out all train, validation, and test sets.en.srt 8.2 kB
  • ~Get Your Files Here !/6. Bagging/022. What is bagging.en.srt 8.2 kB
  • ~Get Your Files Here !/6. Bagging/027. Implement a bagging model.en.srt 8.1 kB
  • ~Get Your Files Here !/5. Boosting/016. What is boosting.en.srt 7.6 kB
  • ~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.en.srt 7.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_05 - COMPLETED-checkpoint.ipynb 7.3 kB
  • ~Get Your Files Here !/4. What is Ensemble Learning/013. What is ensemble learning.en.srt 7.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/End/02_01.ipynb 7.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/End/ipynb_checkpoints/02_01-checkpoint.ipynb 7.1 kB
  • ~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.en.srt 7.1 kB
  • ~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.en.srt 7.0 kB
  • ~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.en.srt 6.8 kB
  • ~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.en.srt 6.8 kB
  • ~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.en.srt 6.6 kB
  • ~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.en.srt 6.6 kB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/007. What does an end-to-end machine learning pipeline look like.en.srt 6.3 kB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.en.srt 6.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/End/02_04.ipynb 6.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/End/ipynb_checkpoints/02_04-checkpoint.ipynb 6.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_05 - COMPLETED-checkpoint.ipynb 6.0 kB
  • ~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.en.srt 5.8 kB
  • ~Get Your Files Here !/2. Review Machine Learning Basics/006. What does machine learning look like in real life.en.srt 5.7 kB
  • ~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.en.srt 5.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/Begin/02_02 - 02_03.ipynb 5.4 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/Begin/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb 5.4 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb 5.3 kB
  • ~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.en.srt 5.1 kB
  • ~Get Your Files Here !/3. Preparing the Data/009. Reading in the data.en.srt 4.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/05_06.ipynb 4.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/ipynb_checkpoints/05_06-checkpoint.ipynb 4.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/val_features.csv 4.7 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/test_features.csv 4.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/End/07_02.ipynb 4.4 kB
  • ~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.en.srt 4.4 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_05 - COMPLETED-checkpoint.ipynb 4.2 kB
  • ~Get Your Files Here !/6. Bagging/024. When should you consider using bagging.en.srt 3.9 kB
  • ~Get Your Files Here !/6. Bagging/026. Explore bagging algorithms in Python.en.srt 3.9 kB
  • ~Get Your Files Here !/1. Introduction/003. What tools you need.en.srt 3.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/06_05.ipynb 3.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/ipynb_checkpoints/06_05-checkpoint.ipynb 3.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/Begin/07_02.ipynb 3.5 kB
  • ~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.en.srt 3.3 kB
  • ~Get Your Files Here !/8. Conclusion/036. How to continue advancing your skills.en.srt 3.2 kB
  • ~Get Your Files Here !/1. Introduction/004. Using the exercise files.en.srt 3.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/06_06.ipynb 3.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/ipynb_checkpoints/06_06-checkpoint.ipynb 3.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_06-checkpoint.ipynb 2.9 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/End/04_05.ipynb 2.8 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/End/ipynb_checkpoints/04_05-checkpoint.ipynb 2.8 kB
  • ~Get Your Files Here !/1. Introduction/001. Explore ensemble learning.en.srt 2.7 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/Begin/04_06.ipynb 2.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/Begin/ipynb_checkpoints/04_06-checkpoint.ipynb 2.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_06-checkpoint.ipynb 2.6 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/Begin/05_06.ipynb 2.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/Begin/ipynb_checkpoints/05_06-checkpoint.ipynb 2.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_06-checkpoint.ipynb 2.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/Begin/02_04.ipynb 2.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/Begin/ipynb_checkpoints/02_04-checkpoint.ipynb 2.5 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_04-checkpoint.ipynb 2.4 kB
  • ~Get Your Files Here !/1. Introduction/002. What you should know.en.srt 2.2 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/Begin/02_01.ipynb 2.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/Begin/ipynb_checkpoints/02_01-checkpoint.ipynb 2.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_01-checkpoint.ipynb 2.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/End/05_05.ipynb 2.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/End/ipynb_checkpoints/05_05-checkpoint.ipynb 2.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/Begin/04_05.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_05-checkpoint.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/Begin/06_05.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_05-checkpoint.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/Begin/05_05.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/Begin/ipynb_checkpoints/05_05-checkpoint.ipynb 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/train_labels.csv 1.1 kB
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_05-checkpoint.ipynb 1.0 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/test_labels.csv 367 Bytes
  • ~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/val_labels.csv 365 Bytes
  • Get Bonus Downloads Here.url 177 Bytes

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