Create ReadMe.md

Author: smty2018

Income Predictive Modelling + EDA/ReadMe.md

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+ 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 with a focus on accuracy and classification metrics.
+
+ EDA Graphs:
+
+Correlation Network
+ ![download (24)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/3f23491c-5964-4c3b-b063-0ffa9f4aa74e)
+
+Pairplot: 
+![download (23)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/20e6bac6-4a01-4663-a605-b3dfbc9954e1)
+
+Stripplot
+![download (22)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/7a10e6b1-2232-4533-a3bb-2ff7c6aa3b9a)
+
+Box-plot
+![download (21)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/2aa0f34f-e586-4893-9897-39a8df4fe6b9)
+
+ViolinPlot
+![download (20)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/2c9139c3-d393-48a6-9c08-d736753895f5)
+
+KDE
+![download (19)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/b0ffc2ea-9c50-4b79-9357-edad92c14466)
+
+Correlation Matrix
+![download (18)](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/308b4224-6ed1-4d2c-a794-a0dc879d9801)
+
+Model: Random Forest Classifier:
+
+![Screenshot 2023-08-10 002604](https://github.com/smty2018/Amazing-Python-Scripts/assets/74114936/3570b450-59fe-4125-8e5b-e111a4a808a6)
+