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

Implementation of Neural Network from scratch

Classifier from Census Data to predict the income

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

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

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

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

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.