Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

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.

Implementasi algoritma kNN dengan Python

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)

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

Analysis and classification of annual income of an individual on Adult dataset

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.

Intro to Machine Learning Assignment 3

DT-id3classifier that can fit with categorical values

Comprehensive data preprocessing and feature engineering pipeline including scaling, encoding, transformation, and feature selection

Automates AV metadata scraping by extracting video codes from filenames and retrieving detailed info and artwork from JavDB and DMM.

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.

Naive Bayes

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

Implementação de um KNN para predição no dataset Adult. Projeto feito como EP da disciplina de Aprendizado de Máquina na POLI-USP.