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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Updated
May 30, 2024
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.
AV metadata scraper plugin for MediaMatrix. Auto-detects AV codes from filenames, fetches titles, covers, cast & ratings from JavDB. Optional DMM integration for official Japanese metadata.
Implementasi algoritma kNN dengan Python
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
Classification Adult DataSet (https://archive.ics.uci.edu/ml/datasets/Adult) using MLP (Multi-Layer Perceptron).
Census income prediction by employing the power of supervised learning
Exploring Federated Learning with TensorFlow, torch and Pysyft
👥 ➡️ 💰 Analysis and classification model for the adult dataset
Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)
Analysis and classification of annual income of an individual on Adult dataset
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
An educational Adult Income binary classifier with a Flask prediction API, React interface, and scikit-learn pipeline.
DT-id3classifier that can fit with categorical values
Intro to Machine Learning Assignment 3
Comprehensive data preprocessing and feature engineering pipeline including scaling, encoding, transformation, and feature selection
Complete association rule mining on Adult Census dataset using FP-Growth — with both mlxtend (efficient) and full from-scratch implementation. Includes data exploration, preprocessing, binarization, and insightful rules on income patterns.
Implementação de um KNN para predição no dataset Adult. Projeto feito como EP da disciplina de Aprendizado de Máquina na POLI-USP.
Project aimed to compare performance of standard Machine Learning algorithms on a Person Income Prediction problem
A PYTHON3, HTTPS SERVER WITH USERNAME AND PASSWORD PROTECTION
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