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

Creation Time	Feb. 23, 2024, 6:08 p.m.
Last Access Time	July 25, 2025, 7:38 p.m.
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Keywords	Applied - Linkedin Machine TutSala Learning com Ensemble
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~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.mp4 85.8 MB
~Get Your Files Here !/5. Boosting/021. Implement a boosting model.mp4 80.2 MB
~Get Your Files Here !/8. Conclusion/034. Compare the three methods.mp4 63.0 MB
~Get Your Files Here !/7. Stacking/033. Implement a stacking model.mp4 57.4 MB
~Get Your Files Here !/2. Review Machine Learning Basics/008. Bias-Variance trade-off.mp4 50.2 MB
~Get Your Files Here !/3. Preparing the Data/010. Cleaning up continuous features.mp4 47.5 MB
~Get Your Files Here !/3. Preparing the Data/011. Cleaning up categorical features.mp4 47.3 MB
~Get Your Files Here !/3. Preparing the Data/012. Write out all train, validation, and test sets.mp4 45.7 MB
~Get Your Files Here !/6. Bagging/027. Implement a bagging model.mp4 42.9 MB
~Get Your Files Here !/6. Bagging/022. What is bagging.mp4 42.6 MB
~Get Your Files Here !/7. Stacking/028. What is stacking.mp4 38.6 MB
~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.mp4 38.1 MB
~Get Your Files Here !/5. Boosting/016. What is boosting.mp4 37.2 MB
~Get Your Files Here !/4. What is Ensemble Learning/013. What is ensemble learning.mp4 36.1 MB
~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.mp4 35.9 MB
~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.mp4 35.8 MB
~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.mp4 33.9 MB
~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.mp4 33.3 MB
~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.mp4 33.3 MB
~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.mp4 32.0 MB
~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.mp4 31.9 MB
~Get Your Files Here !/2. Review Machine Learning Basics/007. What does an end-to-end machine learning pipeline look like.mp4 29.2 MB
~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.mp4 28.7 MB
~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.mp4 28.4 MB
~Get Your Files Here !/2. Review Machine Learning Basics/006. What does machine learning look like in real life.mp4 28.4 MB
~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.mp4 26.1 MB
~Get Your Files Here !/3. Preparing the Data/009. Reading in the data.mp4 24.5 MB
~Get Your Files Here !/6. Bagging/024. When should you consider using bagging.mp4 20.0 MB
~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.mp4 19.7 MB
~Get Your Files Here !/6. Bagging/026. Explore bagging algorithms in Python.mp4 19.2 MB
~Get Your Files Here !/1. Introduction/003. What tools you need.mp4 18.2 MB
~Get Your Files Here !/8. Conclusion/036. How to continue advancing your skills.mp4 16.3 MB
~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.mp4 16.2 MB
~Get Your Files Here !/1. Introduction/004. Using the exercise files.mp4 15.4 MB
~Get Your Files Here !/1. Introduction/001. Explore ensemble learning.mp4 13.7 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 10.7 MB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/RF_model.pkl 2.0 MB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/stacked_model.pkl 1.5 MB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/GB_model.pkl 800.0 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 90.4 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - COMPLETED-checkpoint.ipynb 88.9 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 82.1 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 82.1 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 69.3 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 69.3 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 69.3 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 69.3 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/titanic.csv 59.8 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_06 - COMPLETED-checkpoint.ipynb 47.1 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/06_06.ipynb 40.6 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/ipynb_checkpoints/06_06-checkpoint.ipynb 40.6 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/titanic_cleaned.csv 24.0 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_06 - COMPLETED-checkpoint.ipynb 18.8 KB
~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.en.srt 17.0 KB
~Get Your Files Here !/5. Boosting/021. Implement a boosting model.en.srt 14.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_03 - COMPLETED-checkpoint.ipynb 13.9 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/train_features.csv 13.3 KB
~Get Your Files Here !/8. Conclusion/034. Compare the three methods.en.srt 12.3 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/04_06.ipynb 12.3 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/ipynb_checkpoints/04_06-checkpoint.ipynb 12.3 KB
~Get Your Files Here !/7. Stacking/033. Implement a stacking model.en.srt 10.9 KB
~Get Your Files Here !/2. Review Machine Learning Basics/008. Bias-Variance trade-off.en.srt 10.1 KB
~Get Your Files Here !/3. Preparing the Data/011. Cleaning up categorical features.en.srt 9.9 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_01 - COMPLETED-checkpoint.ipynb 9.4 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_06 - COMPLETED-checkpoint.ipynb 9.2 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_04 - COMPLETED-checkpoint.ipynb 9.2 KB
~Get Your Files Here !/3. Preparing the Data/010. Cleaning up continuous features.en.srt 8.6 KB
~Get Your Files Here !/7. Stacking/028. What is stacking.en.srt 8.3 KB
~Get Your Files Here !/3. Preparing the Data/012. Write out all train, validation, and test sets.en.srt 8.1 KB
~Get Your Files Here !/6. Bagging/022. What is bagging.en.srt 8.0 KB
~Get Your Files Here !/6. Bagging/027. Implement a bagging model.en.srt 7.9 KB
~Get Your Files Here !/5. Boosting/016. What is boosting.en.srt 7.4 KB
~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.en.srt 7.3 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/06_05 - COMPLETED-checkpoint.ipynb 7.1 KB
~Get Your Files Here !/4. What is Ensemble Learning/013. What is ensemble learning.en.srt 7.0 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/End/02_01.ipynb 6.9 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 6.9 KB
~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.en.srt 6.9 KB
~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.en.srt 6.9 KB
~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.en.srt 6.6 KB
~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.en.srt 6.6 KB
~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.en.srt 6.5 KB
~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.en.srt 6.4 KB
~Get Your Files Here !/2. Review Machine Learning Basics/007. What does an end-to-end machine learning pipeline look like.en.srt 6.1 KB
~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.en.srt 6.1 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/End/02_04.ipynb 6.1 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 6.1 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_05 - COMPLETED-checkpoint.ipynb 5.9 KB
~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.en.srt 5.7 KB
~Get Your Files Here !/2. Review Machine Learning Basics/006. What does machine learning look like in real life.en.srt 5.5 KB
~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.en.srt 5.5 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 5.2 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 5.2 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 5.1 KB
~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.en.srt 5.0 KB
~Get Your Files Here !/3. Preparing the Data/009. Reading in the data.en.srt 4.8 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/05_06.ipynb 4.8 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/ipynb_checkpoints/05_06-checkpoint.ipynb 4.8 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/val_features.csv 4.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/test_features.csv 4.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/End/07_02.ipynb 4.3 KB
~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.en.srt 4.3 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/05_05 - COMPLETED-checkpoint.ipynb 4.1 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 3.8 KB
~Get Your Files Here !/1. Introduction/003. What tools you need.en.srt 3.8 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/06_05.ipynb 3.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/ipynb_checkpoints/06_05-checkpoint.ipynb 3.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/Begin/07_02.ipynb 3.4 KB
~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.en.srt 3.2 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 3.1 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/06_06.ipynb 3.0 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/ipynb_checkpoints/06_06-checkpoint.ipynb 3.0 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 2.7 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/End/ipynb_checkpoints/04_05-checkpoint.ipynb 2.7 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 2.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/Begin/ipynb_checkpoints/04_06-checkpoint.ipynb 2.5 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/04_06-checkpoint.ipynb 2.5 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 2.4 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 2.4 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 2.0 KB
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/End/ipynb_checkpoints/05_05-checkpoint.ipynb 2.0 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 1019 bytes
~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
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[ TutSala.com ] Linkedin - Applied Machine Learning - Ensemble Learning

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