In 2021, a precise forecast of Iran Post's 2021-2022 income was achieved using ARIMA, with only a 1.5\% error. This approach was subsequently extended to estimate the income and traffic for 2022-2023.
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income-prediction
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Predict whether income exceeds $50K/yr based on census data.
python data-science machine-learning statistics beginner-project prediction project data-analysis census-data data-science-portfolio svm-model beginners-friendly random-forest-classifier mosaic-plots knn-algorithm uci-adult-data income-prediction adult-income kaggle-adult-income
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To build a classification methodology to determine whether a person makes over 50K per year.
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Census income prediction by employing the power of supervised learning
machine-learning random-forest scikit-learn sklearn jupyter-notebook feature-selection supervised-learning logistic-regression adaboost census-income uci-machine-learning adult-dataset income-prediction
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a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification
machine-learning r high-dimensional-data naive-bayes-classifier classification data-table svm-classifier smote imbalanced-classification xgboost-classifier income-prediction
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Basic Machine Learning Classifiers with scikit-learn.
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This repository contains a model for predicting if an individual earns above or below an income threshold
python docker exploratory-data-analysis regression-algorithms income-inequality income-dataset huggingface income-prediction
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Income Tax Calculator is a comprehensive web application designed to provide net income estimates after federal and state taxes. Built with TypeScript, and NextJs, it offers detailed breakdowns for both hourly and salaried income types.
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Building an Income Prediction System Using Machine Learning Model and Deploying it as a Web App
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This project focuses on predicting the income of individuals based on a diverse set of demographic and socio-economic features. Using the Adult Income dataset, I used a Random Forest model to address this classification task.
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Building a Classification model to predict whether a person's annual Income is more than $50K or below $50K
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A Machine Learning project to predict whether an individual’s income exceeds $50K using U.S. Census data — includes data cleaning, feature engineering, and model training.
python data-science machine-learning jupyter-notebook supervised-learning classification feature-engineering census-data data-cleaning prediction-model income-prediction
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Predict whether income exceeds $50K/yr based on census data.
statistics data-analysis svm-model random-forest-classifier knn-algorithm prediciton uci-adult-data income-prediction adult-income kaggle-adult-income consensus-data
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A machine learning project that predicts whether a person earns more than $50K/year using U.S. Census data. This end-to-end pipeline includes data ingestion, transformation, model training, and a Flask-based prediction interface. Built as a practice project to understand real-world ML workflows.
python flask data-science machine-learning scikit-learn classification binary-classification ml-pipeline income-prediction
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This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.
data-science machine-learning random-forest data-visualization classification data-preprocessing feature-engineering predictive-modeling r-programming lime dalex income-prediction model-explainability
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- R
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Udacity Machine Learning Engineer Nanodegree Program Capstone Project
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This project aims to predict the income bracket of individuals based on a variety of features, and presents a holistic comparative analysis between multiple machine learning algorithms through hyperparameter optimization on a binary classification problem.
machine-learning random-forest hyperparameter-optimization classification support-vector-machine k-nearest-neighbor-classifier income-prediction
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