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

Intro to Machine Learning Assignment 3

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

DT-id3classifier that can fit with categorical values

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.

Income prediction and exploratory data analysis using the Adult Census dataset with logistic regression

A PYTHON3, HTTPS SERVER WITH USERNAME AND PASSWORD PROTECTION

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

Naive Bayes

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

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