What models you made in your ML projects(in my intro i told that I was working on datasets and making ML models)?

Question

Accepted Answer

I have made various ML models including regression, classification, and clustering models.

I have made regression models such as linear regression and polynomial regression to predict numerical values.
I have made classification models such as logistic regression, decision trees, and random forests to classify data into different categories.
I have made clustering models such as K-means clustering to group similar data points together.
I have also used techniques such as feature selection and dimensionality reduction to improve model performance.
Examples of datasets I have worked on include the Iris dataset, the Boston Housing dataset, and the MNIST dataset.

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