CSE5ML: Machine Learning & Regression Models and Clustering Models - IT Assignment Help

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Problem Description 

• The assignment requires you to first do basic pre-processing on the original dataset,  develop 3 end-to-end regression models: SVM, Linear Regression and K-Nearest 
• Neighbors (all have been studied during the course). Then, you are required to  apply K Means clustering method to further understand the dataset.  
• The regression models should be developed to accurately predict the life  expectancy in age based on given health related factors for countries around the  world, and the clustering model should be used to understand the natural grouping  of the data.  
• The dataset is collected and provided by the World Health Organization (WHO). We  did data cleaning on the original dataset, and after cleaning, the detailed health  related factors are as follows:  
• o Life Expectancy: Life Expectancy in age o Status: Developed or Developing status for  the country 
• o Adult Mortality: Adult Mortality Rates of both sexes (probability of dying between 15 and  60 years per 1000 population) o Infant deaths: Number  
• of Infant Deaths per 1000 population 

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