In this, i carried out EDA(exploratory data analysis) on adult_data.csv to extract meaningful insights and followed it by applying LogRegression on it.

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Exploring Federated Learning with TensorFlow, torch and Pysyft

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Predicting Adult Census Income Using XGBoost Tree Boosting System

Project for Artificial Intelligence exam: Pruning of the Decision Tree rules

Decision tree, Adaboost, KNN, Naive bayes, PCA, EM algorithm assignments of Machine Learning Sessional Course CSE 472 in Level-4, Term-2 of CSE, BUET

Naive Bayes

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Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset

Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)

To Determine the probability of a person to earn greater than 50,000 USD based on the features on the census dataset

I used a dataset called "Adult Data Set" with the goal of creating a deep learning model to predict if the income would be exceed or not 50K a year

Classification is done over dataset containing information about people's status to predict whether their annual income is over 50k or not.

Census income prediction by employing the power of supervised learning

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Project aimed to compare performance of standard Machine Learning algorithms on a Person Income Prediction problem

Classification Adult DataSet (https://archive.ics.uci.edu/ml/datasets/Adult) using MLP (Multi-Layer Perceptron).

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