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001. Explore ensemble learning.en.srt
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SRT
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2.7 KB
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001. Explore ensemble learning.mp4
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MP4
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13.7 MB
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002. What you should know.en.srt
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SRT
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2.2 KB
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002. What you should know.mp4
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MP4
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10.7 MB
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003. What tools you need.en.srt
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SRT
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3.8 KB
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003. What tools you need.mp4
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MP4
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18.2 MB
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004. Using the exercise files.en.srt
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SRT
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3.1 KB
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004. Using the exercise files.mp4
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MP4
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15.4 MB
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005. What is machine learning.en.srt
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SRT
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6.1 KB
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005. What is machine learning.mp4
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MP4
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32 MB
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006. What does machine learning look like in real life.en.srt
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SRT
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5.5 KB
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006. What does machine learning look like in real life.mp4
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MP4
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28.4 MB
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007. What does an end-to-end machine learning pipeline look like.en.srt
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SRT
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6.1 KB
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007. What does an end-to-end machine learning pipeline look like.mp4
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MP4
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29.2 MB
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008. Bias-Variance trade-off.en.srt
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SRT
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10.1 KB
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008. Bias-Variance trade-off.mp4
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MP4
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50.2 MB
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009. Reading in the data.en.srt
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SRT
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4.8 KB
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009. Reading in the data.mp4
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MP4
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24.5 MB
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010. Cleaning up continuous features.en.srt
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SRT
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8.6 KB
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010. Cleaning up continuous features.mp4
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MP4
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47.5 MB
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011. Cleaning up categorical features.en.srt
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SRT
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9.9 KB
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011. Cleaning up categorical features.mp4
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MP4
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47.3 MB
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012. Write out all train, validation, and test sets.en.srt
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SRT
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8.1 KB
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012. Write out all train, validation, and test sets.mp4
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MP4
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45.7 MB
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013. What is ensemble learning.en.srt
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SRT
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7 KB
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013. What is ensemble learning.mp4
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MP4
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36.1 MB
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014. How does ensemble learning work.en.srt
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SRT
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5 KB
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014. How does ensemble learning work.mp4
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MP4
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26.1 MB
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015. Why is ensemble learning so powerful.en.srt
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SRT
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6.6 KB
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015. Why is ensemble learning so powerful.mp4
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MP4
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33.3 MB
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016. What is boosting.en.srt
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SRT
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7.4 KB
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016. What is boosting.mp4
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MP4
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37.2 MB
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017. How does boosting reduce overall error.en.srt
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SRT
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7.3 KB
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017. How does boosting reduce overall error.mp4
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MP4
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38.1 MB
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018. When should you consider using boosting.en.srt
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SRT
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6.6 KB
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018. When should you consider using boosting.mp4
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MP4
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31.9 MB
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019. What are examples of algorithms that use boosting.en.srt
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SRT
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5.5 KB
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019. What are examples of algorithms that use boosting.mp4
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MP4
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28.4 MB
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020. Explore boosting algorithms in Python.en.srt
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SRT
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6.5 KB
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020. Explore boosting algorithms in Python.mp4
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MP4
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33.9 MB
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021. Implement a boosting model.en.srt
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SRT
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14.5 KB
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021. Implement a boosting model.mp4
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MP4
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80.2 MB
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022. What is bagging.en.srt
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SRT
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8 KB
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022. What is bagging.mp4
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MP4
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42.6 MB
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023. How does bagging reduce overall error.en.srt
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SRT
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6.4 KB
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023. How does bagging reduce overall error.mp4
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MP4
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33.3 MB
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024. When should you consider using bagging.en.srt
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SRT
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3.9 KB
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024. When should you consider using bagging.mp4
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MP4
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20 MB
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025. What are examples of algorithms that use bagging.en.srt
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SRT
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6.9 KB
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025. What are examples of algorithms that use bagging.mp4
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MP4
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35.8 MB
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026. Explore bagging algorithms in Python.en.srt
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SRT
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3.8 KB
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026. Explore bagging algorithms in Python.mp4
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MP4
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19.2 MB
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027. Implement a bagging model.en.srt
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SRT
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7.9 KB
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027. Implement a bagging model.mp4
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MP4
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42.9 MB
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028. What is stacking.en.srt
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SRT
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8.3 KB
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028. What is stacking.mp4
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MP4
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38.6 MB
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029. How does stacking reduce overall error.en.srt
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SRT
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3.2 KB
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029. How does stacking reduce overall error.mp4
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MP4
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16.2 MB
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02_01 - COMPLETED-checkpoint.ipynb
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IPYNB
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9.4 KB
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02_01-checkpoint.ipynb
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IPYNB
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2.1 KB
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02_01.ipynb
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IPYNB
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6.9 KB
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02_02 - 02_03 - COMPLETED-checkpoint.ipynb
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IPYNB
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90.4 KB
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02_02 - 02_03-checkpoint.ipynb
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IPYNB
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5.1 KB
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02_02 - 02_03.ipynb
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IPYNB
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82.1 KB
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02_02 - COMPLETED-checkpoint.ipynb
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IPYNB
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88.9 KB
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02_03 - COMPLETED-checkpoint.ipynb
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IPYNB
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13.9 KB
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02_04 - COMPLETED-checkpoint.ipynb
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IPYNB
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9.2 KB
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02_04-checkpoint.ipynb
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IPYNB
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2.4 KB
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02_04.ipynb
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IPYNB
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6.1 KB
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030. When should you consider using stacking.en.srt
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SRT
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4.3 KB
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030. When should you consider using stacking.mp4
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MP4
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19.7 MB
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031. What are examples of algorithms that use stacking.en.srt
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SRT
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5.7 KB
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031. What are examples of algorithms that use stacking.mp4
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MP4
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28.7 MB
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032. Explore stacking algorithms in Python.en.srt
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SRT
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6.9 KB
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032. Explore stacking algorithms in Python.mp4
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MP4
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35.9 MB
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033. Implement a stacking model.en.srt
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SRT
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10.9 KB
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033. Implement a stacking model.mp4
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MP4
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57.4 MB
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034. Compare the three methods.en.srt
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SRT
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12.3 KB
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034. Compare the three methods.mp4
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MP4
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63 MB
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035. Compare all models on validation set.en.srt
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SRT
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17 KB
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035. Compare all models on validation set.mp4
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MP4
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85.8 MB
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036. How to continue advancing your skills.en.srt
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SRT
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3.2 KB
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036. How to continue advancing your skills.mp4
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MP4
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16.3 MB
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04_05 - COMPLETED-checkpoint.ipynb
|
IPYNB
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5.9 KB
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04_05-checkpoint.ipynb
|
IPYNB
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1.1 KB
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04_05.ipynb
|
IPYNB
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2.7 KB
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04_06 - COMPLETED-checkpoint.ipynb
|
IPYNB
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18.8 KB
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04_06-checkpoint.ipynb
|
IPYNB
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2.5 KB
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04_06.ipynb
|
IPYNB
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12.3 KB
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05_05 - COMPLETED-checkpoint.ipynb
|
IPYNB
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4.1 KB
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05_05-checkpoint.ipynb
|
IPYNB
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1 KB
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05_05.ipynb
|
IPYNB
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2 KB
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05_06 - COMPLETED-checkpoint.ipynb
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IPYNB
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9.2 KB
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05_06-checkpoint.ipynb
|
IPYNB
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2.5 KB
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05_06.ipynb
|
IPYNB
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4.8 KB
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06_05 - COMPLETED-checkpoint.ipynb
|
IPYNB
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7.1 KB
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06_05-checkpoint.ipynb
|
IPYNB
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1.1 KB
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06_05.ipynb
|
IPYNB
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3.5 KB
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06_06 - COMPLETED-checkpoint.ipynb
|
IPYNB
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47.1 KB
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06_06-checkpoint.ipynb
|
IPYNB
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2.9 KB
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06_06.ipynb
|
IPYNB
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40.6 KB
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07_02.ipynb
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IPYNB
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4.3 KB
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Bonus Resources.txt
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TXT
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409.6 B
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GB_model.pkl
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PKL
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800 KB
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|
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Get Bonus Downloads Here.url
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URL
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204.8 B
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RF_model.pkl
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PKL
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2 MB
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stacked_model.pkl
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PKL
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1.5 MB
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test_features.csv
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CSV
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4.5 KB
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test_labels.csv
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CSV
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409.6 B
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titanic.csv
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CSV
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59.8 KB
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titanic_cleaned.csv
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CSV
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24 KB
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train_features.csv
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CSV
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13.3 KB
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train_labels.csv
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CSV
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1.1 KB
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val_features.csv
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CSV
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4.5 KB
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val_labels.csv
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CSV
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409.6 B
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