Stroke Prediction using classification techniques

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  Age Distribution

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  Uploading CSV

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  Age Distribution

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  Gender pie plot

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  Avg Age, BMI, Glucoselevel

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  Correlation matrix

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  model performance

Inspiration

If we have sufficient data ML algorithms can predict future! If we analyze the data correctly we can prevent extreme health issues by taking appropriate measures.

What we did

• Setting up Replit.com account
• Collect the data from Kaggle.com
• Exploratory Data Analysis & visualization
• Data Preprocessing
• Model Training and Evaluation

Challenges we ran into

• Data Preprocessing
• Visualization in Replit
• Understanding Types and Working of ML models

Accomplishments that we're proud of

• Built first project on Replit!

What we learned

• Data visualization techniques
• How to use collaborative IDEs like Replit
• How to evaluate ML model

What's next for Stroke Prediction using classification techniques

• Create UI
• Deploy

Built With

• numpy
• pandas
• plotly
• python
• replit
• scikit-learn
• seaborn