Machine Learning
Optimizing Heart Disease Prediction Models Using Genetic Algorithm and Neural Architecture Search
Pipeline to predict heart disease by tuning classical classifiers with a Genetic Algorithm (via NIAPY & PSO) and then...
Machine Learning
Principal Components Analysis (PCA) Implementation
Applies PCA to the scikit-learn breast cancer dataset to reduce feature dimensionality and visualize principal compon...
Machine Learning
Diabetes Detection using a Neuro-Fuzzy System
Combines fuzzy-c-means feature generation with a neural-network classifier to predict diabetes outcomes on the Pima I...
Machine Learning
Breast Cancer Classification Using Decision Tree Classifier
A pipeline to classify breast tumors (malignant vs. benign) using a Decision Tree model on clinical feature data.
Machine Learning
Predictive Analysis of Car Prices
A regression pipeline to predict used-car prices based on vehicle attributes, using linear models and visual diagnost...
Machine Learning
Naïve Bayes Classifier for Titanic Dataset
Uses a Multinomial Naïve Bayes model to predict passengers’ embarkation port from key demographic and fare features.
Machine Learning
Language Detection Using Naive Bayes
A text-classification pipeline that uses TF-IDF features and a Multinomial Naïve Bayes classifier to predict the lang...
Machine Learning
Canada Customer Data Extraction
Loads and inspects an Excel dataset, then reads and parses a text file to extract specific customer names and monetar...
Machine Learning
Digit Recognizer
A pipeline that classifies handwritten digit images (MNIST) using PCA for dimensionality reduction and supervised cla...
Machine Learning
Machine Learning Tutorial
A step-by-step walkthrough of basic supervised learning workflows using the Iris dataset.