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Machine Learning application — Census Income Prediction Income has 34% correlation with ‘Education_num’, 23% correlation with ‘hours_per_week’ and ‘age’, and 22% correlation with ‘Capital_gain’ The correlations are moderate
First look at our dataset — Scikit-learn course - GitHub Pages In this notebook, we look at the necessary steps required before any machine learning takes place It involves: visualizing the distribution of the variables to gain some insights into the dataset We use data from the 1994 US census that we downloaded from OpenML
A Step-by-Step Guide for Performing Univariate and Bivariate . . . - Medium For example, the histograms for continuous attributes like age, education_num, and hours_per_week may reveal skewness, while bar plots for categorical attributes like workclass, occupation, and race can show the dominance of certain categories
Classifying Income from 1994 Census Data - University of California . . . Based on additional analysis, these two attributes do correlate Regardless of race, the mean of the hours worked is roughly 44 hrs wk In addition, I wanted to study how marriage may possible affect the label For each label, I found the percentage of each category from the overall data
Adult Dataset Income Prediction using Simple Classification Techniques Prediction task is to determine whether a person makes over 50K a year The main objective of the dataset is to classify people earning <=50k or >50k based on several explanatory factors affecting the income of a person like Age, Occupation, Education, etc The methods we intend to use are:
Adult Dataset their Income Analysis | Felix Immanuel The “Adult Dataset has around 32,000 records with various information like age, education, marital-status, occupation, gender, hours per week, country and income information”
CTGAN_Adult_Census_Income_Data. ipynb - Colab This notebook is an example of how to use CTGAN to generate synthetic tabular data with numeric and categorical features The data used is the Adult Census Income which we will fecth by importing