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Advantages of using Locally linear embedding (LLE) over PCA | Data Science Interview Questions

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Advantages of using Locally linear embedding (LLE) over PCA | Data Science Interview Questions | Machine Learning
LLE (which is an Unsupervised algorithms) and PCA are both dimensionality reduction techniques, but they have different underlying assumptions and methods.
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LLE (which is an Unsupervised algorithms) and PCA are both dimensionality reduction techniques, but they have different underlying assumptions and methods.
-----------------
----------------
You can find me here:
**********************************************
**********************************************
Other Playlist you might like 👇
#machinelearninginterview #interviewprep #interviewquestions #huggingface
#naturallanguageprocessing #transformers #machinelearning #datascience #nlp #textprocessing #kaggle #tensorflow #pytorch #deeplearning #deeplearningai #100daysofmlcode #neuralnetworks #pythonprogramming #python #100DaysOfMLCode #softwareengineer #dataanalysis #machinelearningalgorithms #computervision #coding #bigdata #computerscience #tech #data #iot #software #dataanalytics #programmer #ml #coder #analytics