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Loan Eligibility Prediction Using Machine Learning Technics – Statistics Assignment Help

Assignment Task

The project should be written in Latex and will be at least 3000 words in length, excluding references, appendices, figures and tables. Typically it might not exceed 6000 words, though this is far from being a binding upper limit. Different projects may well be different lengths and you should consult your supervisor if in doubt. this is kind of research project and I chose Loan Eligibility Prediction using Machine Learning Technics Find a dataset for Loan Eligibility Prediction.Apply some visualization technics.Fit 3 machine learning classification technics on the dataset.Compare the results of each technic.

University suggested including 15 to 20 references and include a few references in the introduction.The report should consists of figs(with numbering), Graphs and Mathematical Equations(if any)  Hi Team, That is my complete requirement. We need to write a research essay on Loan Eligibility Prediction using Machine Learning Technics. We need to apply few technics and find out which one would be better for this. Find a dataset for Loan Eligibility Prediction. Apply some visualization technics. Fit 3 machine learning classification technics on the dataset. Compare the results of each technic. University suggested to include 15 to 20 references and include few reference in introduction. The report should consist of figs (with numbering), Graphs and Mathematical Equations (if any)

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