Lab 11: Using Hybrid Machine Learning Models

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For this lab, we will go through the work from Khan et al (2020), which used a hybrid model to forecast the energy consumption of renewable and non-renewable power sources, and we will "reproduce" part of their methodology (the modelling part). We will show different ways to combine trained machine learning models to create a more powerful and more robust model using Python libraries such as Scikit-Learn and Mlxtend.

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  1. CREWES
  2. Machine learning
  3. data science
  4. fundamentals of machine learning
  5. crewes
  6. r programming
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Excellent video. I am gonna share this video on different portals. You guys deserve more views and likes. Keep posting more interesting videos. The way you are describing things is just fabulous. I really appreciate the hard work which you guys are putting in. Cheers

MuhammadTahir-pbxc
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Thankyou for providing such an amazing video. Really enjoyed.

Ali_Jan
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guys can you share me how can i get rules from models

tadessekassu
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Great. Is there any availability of your code? That would be helpful in my study.

dyutipaul