census-income

Welcome to some case study of data science projects - (Personal Projects).

Applying machine learning techniques with R to Census Income data set, a.k.a Adult data set.

Census income prediction by employing the power of supervised learning

An implementation of Naive Bayesian Classifier from scratch in Python

Task is to predict whether income exceeds $50K/yr based on census data by implementing a Neural Network from Scratch

Classifier from Census Data to predict the income

A Machine Learning desktop application predicting Census Income. Features Naive Bayes and Decision Tree classifiers built entirely from scratch in Python, integrated with a Tkinter GUI.

Exploratory data analysis, Feature Engineering and Modelling on the Adult UCI Income census dataset.

A fair and explainable machine learning model for predicting financial eligibility from census data.

Implementation of Neural Network from scratch

Data science project for feature engineering and classification using as case study the Census Income dataset

End-to-end Adult Census income classification with data cleaning, feature engineering, a class-balanced Random Forest, threshold optimization, and model evaluation.

Working with the census income dataset from the UC Irvine Machine Learning Repository [http://archive.ics.uci.edu/ml/datasets/adult]

Machine Learning project to predict whether annual income is above or below $50K using the Adult Census Income dataset.