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---
# Final Project
## [Northeastern University](https://www.northeastern.edu/)
### Predicting Heart Disease
# ❤️
#### By: Nasheya Louviere
---
### Project Objectives
- Explore a Kaggle Data Set
- Understand summative statistics
- Do some data visualization
- Try some Machine learning
---
# Data aquisition
---
---
## Convert `.csv` to data frame
```python=
heart_df=pd.read_csv('/work/archive-20220531-152154/heart_2020_cleaned.csv')
heart_df
```
---
# Data exploration
```python=
heart_df.shape
heart_df.info()
heart_df.describe()
```
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/e88c80ee8b25498099b81537723d02d4?height=134.26736450195312" height="134.26736450195312" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/82ccf699c6914bc9baafd1f7b43c8706?height=588.6944580078125" height="588.6944580078125" width="500"/>
---
---
# Data visualization
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/bfa20d3d3f9849b3a8763393e07a8927?height=600" height="600" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/6e1ceb2b01ba464c896f81ae010c536f?height=684.1111450195312" height="684.1111450195312" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/f07b38e235fb4b90961b8902571a04f6?height=672.0972290039062" height="672.0972290039062" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/a13ddd0e99f8405c982dc2016e647e71?height=507.07989501953125" height="507.07989501953125" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/08c074adb23c494592cb4013006e2478?height=684.1111450195312" height="684.1111450195312" width="500"/>
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/2d079ef0e6324d0baa29715cfdba9d9d?height=600" height="600" width="500"/>
---
```
import plotly.express as px
fig = px.box(heart_df, y="SleepTime", title="Box plot of the Sleep Time column")
fig.show()
```
---
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/c471f06fb16f49da838fdd43640fb745?height=684" height="684" width="500"/>
---
# Choose a Model
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/7de3e8d2226c42fb85feeeb63fd324b2?height=98" height="98" width="500"/>
---
# Train The Model
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/6aeee09722144d0585b3535a2c6f81d4?height=134.1875" height="134.1875" width="500"/>
---
# Make Predictions
<iframe title="Embedded cell output" src="https://embed.deepnote.com/5032a196-dce0-4509-a217-2b2b4586d05b/bfedaf3e-8074-4a89-9d0f-b5435bd2bb7b/4d83d8da34d04f62ba29221a404ed0c6?height=89" height="89" width="500"/>
---
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---
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