Diabetes Prediction Challenge
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Diabetes Prediction Challenge
Diabetes Prediction Challenge
Language
Python
Competition Notebook
Overview
This project aims to predict diabetes diagnosis based on provided medical data using machine learning techniques.
Import Libraries and Load Data
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
try:
import seaborn as sns
_HAS_SNS = True
except Exception:
_HAS_SNS = False
Check Dataset Shapes
train = pd.read_csv('train.csv')
test = pd.read_csv('test.csv')
Check for Missing Values
missing_train = train.isnull().sum()
missing_test = test.isnull().sum()
print(missing_train)
print(missing_test)
Create a Function for EDA
def explore_data(df):
print(df.describe())
Plotting
Age Distribution
Target Distribution by Age
Feature Engineering
train['new_feature'] = train['age'] * train['bmi']
Conclusion
This project effectively demonstrates the application of data science techniques in the healthcare domain, showcasing predictive analytics on diabetes diagnosis.
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Posted May 11, 2026
Predict diabetes diagnosis using machine learning techniques on medical data.
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