sans1012/kidney-chronic-disease-prediction

This is a Machine Learning project using Classification Use Case

kidney-Chronic-disease-Prediction

This is a Machine Learning project using Classification Use Case

STEPS USED

Data Cleaning for Preprocessing Analysis

• Renaming the columns heads using data description.txt
• Converting Object to Numerical Columns
• Extracting Numerical and Categorical Columns
• Checking for Dirtyness in data

Finding Columns Correlation and impact on features

• Ploting a heatmap and finding the best correlation
• Finding relationships between Data variables

Automate the analysis for

• Plots- scatter, violin, kdeplot

Preform Exploratory Data Anlysis and Build a model to predict- If a preson has a chronic kidney disease or not

• Finding and filling the missing values
• Feature Encoding techniques to find the the important features
• Selecting important features

Finding the best model for the purpose

• XGB Classifier- XGBost Algorithm
• RandomizedSearchCV
• Cross validate the model and find accuracy