In this project, you will develop a Classification Model for Heart Disease Dataset from Kaggle.

a$.$ Problem Statement and Motivation: This should be brief and self$-$contained.

b$.$ Introduction and Description of Data: Description of relevant knowledge. Why is this

problem important? Why is it challenging? Introduce the motivations for the project

question and how that question was defined through preliminary EDA.

c$.$ Literature Review$/$Related Work: This could include noting any key papers, texts, or websites that you have used to develop your modeling approach, as well as what others have done on this problem in the past. You must properly credit sources.

d$.$ Modeling Approach and Project Trajectory:

Include $1)$ a baseline model for comparison and $2)$ a description of your implementations beyond the baseline model. Briefly summarize any changes in your project goals or implementation plans you have made along the way. These changes are a natural part of any project, even those that seem the most straightforward at the beginning. The story you tell about how you arrived at your results can powerfully illustrate your process.

e$.$ Results, Conclusions, and FutureWork: Show and interpret your results. Summarize your results, the strengths and short$-$comings of your results, and speculate on how you might address these short$-$comings if given more time.