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I have worked on various algorithms including linear regression, decision trees, random forests, and neural networks.
Implemented linear regression for predicting housing prices based on features like square footage and location
Utilized decision trees for classification tasks such as predicting customer churn
Developed random forests to improve the accuracy of predicting stock prices
Used neural networks for image recogni
PCA stands for Principal Component Analysis, a technique used for dimensionality reduction in data analysis.
PCA is used to reduce the number of variables in a dataset while retaining as much information as possible.
It works by finding the principal components, which are new variables that are linear combinations of the original variables.
These principal components are ordered by the amount of variance they explain in t...
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