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  1. mtcars-regressions mtcars-regressions Public

    Using the mtcars dataset, I'm exploring three different types of regression: (1) Lasso; (2) Ridge ; (3) StepLR . I'm providing my recommendations on which one is the most ideal.

  2. CNBC-clustering CNBC-clustering Public

    In this project, I'm exploring the k-means algorithm, testing for clusterability, the relevance of standardization, and feature importance.

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  3. CNBC-mtcars CNBC-mtcars Public

    Using the mtcars and cnbc dataset, I'm exploring the hierarchical clustering technique.

    R

  4. BostonHousing BostonHousing Public

    Using the cnbc and brand_data datasets, in this project I'm exploring the concept of principal component analysis.

    R

  5. Smokers-Housewives Smokers-Housewives Public

    Using a dataset that includes different types of smokers and a datasets with responses of housewives for their breakfast preferences, I'm exploring the concept of correspondance analysis.

    R

  6. UnabomberManifesto UnabomberManifesto Public

    Using the Unabomber Manifesto text, I'm showing a comparable graph displaying positive and negative sentiment across each segment to explore the concept of sentiment analysis.

    R