Research recent investigation algorithms, such as K-means, and apply them to Kaggle data. Discuss the results

Description

1- Please explain the used methodologies’ details (e.g. clustering, classification, text mining, random forest, regression trees, association rules, deep learning, support vector machines, sentiment analysis, etc.) and discuss the interesting relationships between method-problem-data in 2-to-3 articles. (800 words) explanation (about choosing two of the methods that in () and explain it in detail And discuss the relationship between these two methods-problem- data that u have selected bu using 2 or 3 articles related) 2- Select one of the investigated algorithms (published recently in the literature) and apply one iteration of the algorithm to an example/data of your choosing and discuss the results. (500 words) explanation (about find a recent literature of investigation algorithms ( for example find a recent article about K-means and them obtain a data from kaggle and apply that discussed algorithm in that particular article on the data and discuss the results)

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Research recent investigation algorithms, such as K-means, and apply them to Kaggle data. Discuss the results
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