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Do you want to grow your skills as a machine learning practitioner, but don’t know where to begin? You don’t need any formal training in data science to start working toward your goal. In this course, instructor Derek Jedamski shows you how to harness messy data, find signal in it, and build models that make powerful predictions with ensemble learners, one of the most common classes of machine learning algorithms.
Review the basics of the machine learning pipeline to find out where ensemble learners sit within it. Learn about the underlying theory that drives ensemble learners, covering examples of ensemble learning in Python and then implementing models of your own. Explore concepts like boosting, bagging, and stacking, and how to use each and when. Get the tools you need to ramp up your predicting power and advance your machine learning skills today.
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Filename
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~Get Your Files Here !/1. Introduction/001. Explore ensemble learning.en.srt
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~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.en.srt
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~Get Your Files Here !/1. Introduction/002. What you should know.mp4
10.7 MB
~Get Your Files Here !/1. Introduction/003. What tools you need.en.srt
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~Get Your Files Here !/1. Introduction/003. What tools you need.mp4
18.2 MB
~Get Your Files Here !/1. Introduction/004. Using the exercise files.en.srt
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~Get Your Files Here !/1. Introduction/004. Using the exercise files.mp4
15.4 MB
~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.en.srt
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~Get Your Files Here !/2. Review Machine Learning Basics/005. What is machine learning.mp4
32 MB
~Get Your Files Here !/2. Review Machine Learning Basics/006. What does machine learning look like in real life.en.srt
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~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 !/2. Review Machine Learning Basics/007. What does an end-to-end machine learning pipeline look like.en.srt
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~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 !/2. Review Machine Learning Basics/008. Bias-Variance trade-off.en.srt
10.1 KB
~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/009. Reading in the data.en.srt
4.8 KB
~Get Your Files Here !/3. Preparing the Data/009. Reading in the data.mp4
24.5 MB
~Get Your Files Here !/3. Preparing the Data/010. Cleaning up continuous features.en.srt
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~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.en.srt
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~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.en.srt
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~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 !/4. What is Ensemble Learning/013. What is ensemble learning.en.srt
7 KB
~Get Your Files Here !/4. What is Ensemble Learning/013. What is ensemble learning.mp4
36.1 MB
~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.en.srt
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~Get Your Files Here !/4. What is Ensemble Learning/014. How does ensemble learning work.mp4
26.1 MB
~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.en.srt
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~Get Your Files Here !/4. What is Ensemble Learning/015. Why is ensemble learning so powerful.mp4
33.3 MB
~Get Your Files Here !/5. Boosting/016. What is boosting.en.srt
7.4 KB
~Get Your Files Here !/5. Boosting/016. What is boosting.mp4
37.2 MB
~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.en.srt
7.3 KB
~Get Your Files Here !/5. Boosting/017. How does boosting reduce overall error.mp4
38.1 MB
~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.en.srt
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~Get Your Files Here !/5. Boosting/018. When should you consider using boosting.mp4
31.9 MB
~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.en.srt
5.5 KB
~Get Your Files Here !/5. Boosting/019. What are examples of algorithms that use boosting.mp4
28.4 MB
~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.en.srt
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~Get Your Files Here !/5. Boosting/020. Explore boosting algorithms in Python.mp4
33.9 MB
~Get Your Files Here !/5. Boosting/021. Implement a boosting model.en.srt
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~Get Your Files Here !/5. Boosting/021. Implement a boosting model.mp4
80.2 MB
~Get Your Files Here !/6. Bagging/022. What is bagging.en.srt
8 KB
~Get Your Files Here !/6. Bagging/022. What is bagging.mp4
42.6 MB
~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.en.srt
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~Get Your Files Here !/6. Bagging/023. How does bagging reduce overall error.mp4
33.3 MB
~Get Your Files Here !/6. Bagging/024. When should you consider using bagging.en.srt
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~Get Your Files Here !/6. Bagging/024. When should you consider using bagging.mp4
20 MB
~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.en.srt
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~Get Your Files Here !/6. Bagging/025. What are examples of algorithms that use bagging.mp4
35.8 MB
~Get Your Files Here !/6. Bagging/026. Explore bagging algorithms in Python.en.srt
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~Get Your Files Here !/6. Bagging/026. Explore bagging algorithms in Python.mp4
19.2 MB
~Get Your Files Here !/6. Bagging/027. Implement a bagging model.en.srt
7.9 KB
~Get Your Files Here !/6. Bagging/027. Implement a bagging model.mp4
42.9 MB
~Get Your Files Here !/7. Stacking/028. What is stacking.en.srt
8.3 KB
~Get Your Files Here !/7. Stacking/028. What is stacking.mp4
38.6 MB
~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.en.srt
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~Get Your Files Here !/7. Stacking/029. How does stacking reduce overall error.mp4
16.2 MB
~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.en.srt
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~Get Your Files Here !/7. Stacking/030. When should you consider using stacking.mp4
19.7 MB
~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.en.srt
5.7 KB
~Get Your Files Here !/7. Stacking/031. What are examples of algorithms that use stacking.mp4
28.7 MB
~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.en.srt
6.9 KB
~Get Your Files Here !/7. Stacking/032. Explore stacking algorithms in Python.mp4
35.9 MB
~Get Your Files Here !/7. Stacking/033. Implement a stacking model.en.srt
10.9 KB
~Get Your Files Here !/7. Stacking/033. Implement a stacking model.mp4
57.4 MB
~Get Your Files Here !/8. Conclusion/034. Compare the three methods.en.srt
12.3 KB
~Get Your Files Here !/8. Conclusion/034. Compare the three methods.mp4
63 MB
~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.en.srt
17 KB
~Get Your Files Here !/8. Conclusion/035. Compare all models on validation set.mp4
85.8 MB
~Get Your Files Here !/8. Conclusion/036. How to continue advancing your skills.en.srt
3.2 KB
~Get Your Files Here !/8. Conclusion/036. How to continue advancing your skills.mp4
16.3 MB
~Get Your Files Here !/Bonus Resources.txt
386 B
~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/Begin/02_01.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_01/End/02_01.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/Begin/02_02 - 02_03.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_02/End/02_02 - 02_03.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/Begin/02_02 - 02_03.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_03/End/02_02 - 02_03.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/Begin/02_04.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/02_04/End/02_04.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_01 - COMPLETED-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_01-checkpoint.ipynb
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~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
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - 02_03-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_02 - COMPLETED-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_03 - COMPLETED-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_04 - COMPLETED-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/02_Prep_the_data/ipynb_checkpoints/02_04-checkpoint.ipynb
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~Get Your Files Here !/Ex_Files_Applied_ML_Ensemble_Learning/Exercise Files/04_Boosting/04_05/Begin/04_05.ipynb
