TutSala com Linkedin Applied Machine Learning Ensemble Learning | CFB75A6A09A2736FEEC7C66EE9A601CEB7575BD3

TutSala com Linkedin Applied Machine Learning Ensemble Learning

Name	[ TutSala.com ] Linkedin - Applied Machine Learning - Ensemble Learning	DOWNLOAD Copy Link
Total Size	1.3 GB
Total Files	145
Last Seen	2025-01-21 23:26
Hash	CFB75A6A09A2736FEEC7C66EE9A601CEB7575BD3

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Get Bonus Downloads Here.url	0.2 KB
/1. Introduction/
001. Explore ensemble learning.en.srt	2.7 KB
001. Explore ensemble learning.mp4	14.4 MB
002. What you should know.en.srt	2.3 KB
002. What you should know.mp4	11.2 MB
003. What tools you need.en.srt	3.9 KB
003. What tools you need.mp4	19.1 MB
004. Using the exercise files.en.srt	3.2 KB
004. Using the exercise files.mp4	16.1 MB
/.../2. Review Machine Learning Basics/
005. What is machine learning.en.srt	6.2 KB
005. What is machine learning.mp4	33.6 MB
006. What does machine learning look like in real life.en.srt	5.7 KB
006. What does machine learning look like in real life.mp4	29.7 MB
007. What does an end-to-end machine learning pipeline look like.en.srt	6.3 KB
007. What does an end-to-end machine learning pipeline look like.mp4	30.6 MB
008. Bias-Variance trade-off.en.srt	10.4 KB
008. Bias-Variance trade-off.mp4	52.6 MB
/.../3. Preparing the Data/
009. Reading in the data.en.srt	4.9 KB
009. Reading in the data.mp4	25.7 MB
010. Cleaning up continuous features.en.srt	8.8 KB
010. Cleaning up continuous features.mp4	49.9 MB
011. Cleaning up categorical features.en.srt	10.2 KB
011. Cleaning up categorical features.mp4	49.6 MB
012. Write out all train, validation, and test sets.en.srt	8.2 KB
012. Write out all train, validation, and test sets.mp4	47.9 MB
/.../4. What is Ensemble Learning/
013. What is ensemble learning.en.srt	7.1 KB
013. What is ensemble learning.mp4	37.9 MB
014. How does ensemble learning work.en.srt	5.1 KB
014. How does ensemble learning work.mp4	27.3 MB
015. Why is ensemble learning so powerful.en.srt	6.8 KB
015. Why is ensemble learning so powerful.mp4	34.9 MB
/5. Boosting/
016. What is boosting.en.srt	7.6 KB
016. What is boosting.mp4	39.1 MB
017. How does boosting reduce overall error.en.srt	7.5 KB
017. How does boosting reduce overall error.mp4	40.0 MB
018. When should you consider using boosting.en.srt	6.8 KB
018. When should you consider using boosting.mp4	33.4 MB
019. What are examples of algorithms that use boosting.en.srt	5.6 KB
019. What are examples of algorithms that use boosting.mp4	29.7 MB
020. Explore boosting algorithms in Python.en.srt	6.6 KB
020. Explore boosting algorithms in Python.mp4	35.5 MB
021. Implement a boosting model.en.srt	14.8 KB
021. Implement a boosting model.mp4	84.1 MB
/6. Bagging/
022. What is bagging.en.srt	8.2 KB
022. What is bagging.mp4	44.7 MB
023. How does bagging reduce overall error.en.srt	6.6 KB
023. How does bagging reduce overall error.mp4	34.9 MB
024. When should you consider using bagging.en.srt	3.9 KB
024. When should you consider using bagging.mp4	20.9 MB
025. What are examples of algorithms that use bagging.en.srt	7.0 KB
025. What are examples of algorithms that use bagging.mp4	37.6 MB
026. Explore bagging algorithms in Python.en.srt	3.9 KB
026. Explore bagging algorithms in Python.mp4	20.1 MB
027. Implement a bagging model.en.srt	8.1 KB
027. Implement a bagging model.mp4	44.9 MB
/7. Stacking/
028. What is stacking.en.srt	8.5 KB
028. What is stacking.mp4	40.5 MB
029. How does stacking reduce overall error.en.srt	3.3 KB
029. How does stacking reduce overall error.mp4	17.0 MB
030. When should you consider using stacking.en.srt	4.4 KB
030. When should you consider using stacking.mp4	20.7 MB
031. What are examples of algorithms that use stacking.en.srt	5.8 KB
031. What are examples of algorithms that use stacking.mp4	30.1 MB
032. Explore stacking algorithms in Python.en.srt	7.1 KB
032. Explore stacking algorithms in Python.mp4	37.6 MB
033. Implement a stacking model.en.srt	11.2 KB
033. Implement a stacking model.mp4	60.2 MB
/8. Conclusion/
034. Compare the three methods.en.srt	12.6 KB
034. Compare the three methods.mp4	66.1 MB
035. Compare all models on validation set.en.srt	17.4 KB
035. Compare all models on validation set.mp4	90.0 MB
036. How to continue advancing your skills.en.srt	3.2 KB
036. How to continue advancing your skills.mp4	17.1 MB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
/.../02_Prep_the_data/02_01/Begin/
02_01.ipynb	2.1 KB
/.../02_Prep_the_data/02_01/Begin/ipynb_checkpoints/
02_01-checkpoint.ipynb	2.1 KB
/.../02_Prep_the_data/02_01/End/
02_01.ipynb	7.1 KB
/.../02_Prep_the_data/02_01/End/ipynb_checkpoints/
02_01-checkpoint.ipynb	7.1 KB
/.../02_Prep_the_data/02_02/Begin/
02_02 - 02_03.ipynb	5.4 KB
/.../02_Prep_the_data/02_02/Begin/ipynb_checkpoints/
02_02 - 02_03-checkpoint.ipynb	5.4 KB
/.../02_Prep_the_data/02_02/End/
02_02 - 02_03.ipynb	70.9 KB
/.../02_Prep_the_data/02_02/End/ipynb_checkpoints/
02_02 - 02_03-checkpoint.ipynb	70.9 KB
/.../02_Prep_the_data/02_03/Begin/
02_02 - 02_03.ipynb	70.9 KB
/.../02_Prep_the_data/02_03/Begin/ipynb_checkpoints/
02_02 - 02_03-checkpoint.ipynb	70.9 KB
/.../02_Prep_the_data/02_03/End/
02_02 - 02_03.ipynb	84.1 KB
/.../02_Prep_the_data/02_03/End/ipynb_checkpoints/
02_02 - 02_03-checkpoint.ipynb	84.1 KB
/.../02_Prep_the_data/02_04/Begin/
02_04.ipynb	2.5 KB
/.../02_Prep_the_data/02_04/Begin/ipynb_checkpoints/
02_04-checkpoint.ipynb	2.5 KB
/.../02_Prep_the_data/02_04/End/
02_04.ipynb	6.2 KB
/.../02_Prep_the_data/02_04/End/ipynb_checkpoints/
02_04-checkpoint.ipynb	6.2 KB
/.../02_Prep_the_data/ipynb_checkpoints/
02_01 - COMPLETED-checkpoint.ipynb	9.6 KB
02_01-checkpoint.ipynb	2.1 KB
02_02 - 02_03 - COMPLETED-checkpoint.ipynb	92.6 KB
02_02 - 02_03-checkpoint.ipynb	5.3 KB
02_02 - COMPLETED-checkpoint.ipynb	91.1 KB
02_03 - COMPLETED-checkpoint.ipynb	14.2 KB
02_04 - COMPLETED-checkpoint.ipynb	9.4 KB
02_04-checkpoint.ipynb	2.4 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/Begin/
04_05.ipynb	1.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/End/
04_05.ipynb	2.8 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/End/ipynb_checkpoints/
04_05-checkpoint.ipynb	2.8 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/Begin/
04_06.ipynb	2.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/Begin/ipynb_checkpoints/
04_06-checkpoint.ipynb	2.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/
04_06.ipynb	12.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_06/End/ipynb_checkpoints/
04_06-checkpoint.ipynb	12.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/ipynb_checkpoints/
04_05 - COMPLETED-checkpoint.ipynb	6.0 KB
04_05-checkpoint.ipynb	1.1 KB
04_06 - COMPLETED-checkpoint.ipynb	19.3 KB
04_06-checkpoint.ipynb	2.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/Begin/
05_05.ipynb	1.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/Begin/ipynb_checkpoints/
05_05-checkpoint.ipynb	1.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/End/
05_05.ipynb	2.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_05/End/ipynb_checkpoints/
05_05-checkpoint.ipynb	2.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/Begin/
05_06.ipynb	2.5 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/Begin/ipynb_checkpoints/
05_06-checkpoint.ipynb	2.5 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/
05_06.ipynb	4.9 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/05_06/End/ipynb_checkpoints/
05_06-checkpoint.ipynb	4.9 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/05_Bagging/ipynb_checkpoints/
05_05 - COMPLETED-checkpoint.ipynb	4.2 KB
05_05-checkpoint.ipynb	1.0 KB
05_06 - COMPLETED-checkpoint.ipynb	9.4 KB
05_06-checkpoint.ipynb	2.5 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/Begin/
06_05.ipynb	1.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/
06_05.ipynb	3.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_05/End/ipynb_checkpoints/
06_05-checkpoint.ipynb	3.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/
06_06.ipynb	3.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/Begin/ipynb_checkpoints/
06_06-checkpoint.ipynb	3.1 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/
06_06.ipynb	41.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/06_06/End/ipynb_checkpoints/
06_06-checkpoint.ipynb	41.6 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/06_Stacking/ipynb_checkpoints/
06_05 - COMPLETED-checkpoint.ipynb	7.3 KB
06_05-checkpoint.ipynb	1.1 KB
06_06 - COMPLETED-checkpoint.ipynb	48.2 KB
06_06-checkpoint.ipynb	2.9 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/Begin/
07_02.ipynb	3.5 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/07_Conclusion/07_02/End/
07_02.ipynb	4.4 KB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/models/
GB_model.pkl	819.2 KB
RF_model.pkl	2.1 MB
stacked_model.pkl	1.6 MB
/.../Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/
test_features.csv	4.6 KB
test_labels.csv	0.4 KB
titanic.csv	61.2 KB
titanic_cleaned.csv	24.6 KB
train_features.csv	13.7 KB
train_labels.csv	1.1 KB
val_features.csv	4.7 KB
val_labels.csv	0.4 KB
Total files 145