eben2020-hp/diabetes

This is part of my Data Science Machine Learning Course from Christ University for 2nd semester.

Diabetes

In order to truly understand what Machine Learning is all of us need to perform analysis in different domains. This is the doamin assigned to me for the second semester of my Masters program in Data Science in Christ University.

Data Collection

This data

Project Conclusion

In this particular analysis what I have found is that the model only yields me a 60% accuracy. It is not great but being a fresher this was the way I approached it.

• Further Scope of the study

One can work in reducing the number of features used and also increase thew accuracy of the model.

Resources

I have seeked the help of certain articles and codes inorder to complete this work. The links of all relevant informtion is provided.

• Understanding the probelm --> https://www.hindawi.com/journals/bmri/2014/781670/
• How to go about in a Classification Model --> https://github.com/dformoso/sklearn-classification/blob/master/Data%20Science%20Workbook%20-%20Census%20Income%20Dataset.ipynb
• How to do a Data Science Project --> https://www.youtube.com/playlist?list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&pbjreload=102