Amazing-Python-Scripts

Predicting Income using Random Forest Classifier and Exploratory Data Analysis of the income dataset:

Description: This project encompasses exploratory data analysis and predictive modelling for income classification using a Random Forest Classifier. The dataset, loaded from a CSV file, contains diverse socio-economic features.It employs advanced visualizations, including a correlation network, to uncover intricate feature relationships. After preprocessing and encoding, a Random Forest Classifier predicts income levels.

EDA Graphs:

Correlation Network

Pairplot:

Stripplot

Box-plot

ViolinPlot

KDE

Correlation Matrix

Model: Random Forest Classifier: