This repository contains code for building a K-Nearest Neighbors (KNN) model to predict diabetes based on patient data. Includes data cleaning, hyperparameter tuning, and evaluation metrics.

This repository contains lecturer's dissertation about sentiment analysis web application

Plain python implementations of basic machine learning algorithms

Aplicação web onde você consegue treinar um modelo de Machine Learning para classificar uma pessoa como do sexo masculino ou feminino com base em seu nome.

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Using k-nearest neighbors, and infinite-lookback ngrams with LLMs

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

This project provides the classification of DNA sequences for Breast cancer prediction which into promoter regions associated. Using machine learning and deep learning techniques, I analyze and try to predict sequence data for negative and positive answers in cancer prediction.

Exploring QSAR Models for Activity-Cliff Prediction

Comparison of k-Nearest Neighbors (kNN) and Logistic Regression Model performance

Tools created for machine learning classification model evaluation

Comprehensive dimensionality reduction and cluster analysis toolset

Enhancing Patient Care through AI-Driven Disease Prediction

TiMBL implements several memory-based learning algorithms.

A movie recommender. Collaborative and content based filtering hybrid model.

A portfolio of machine learning algorithms that are essential and commonly used.

This notebook loads a time series of gas concentrations in the air to train a recurrent neural network to predict the next hour of data

Simple implementation of the K-Nearest Neighbour algorithm

A project to scrape features about spotify tracks and a website for recommendations from 7mil+ tracks using a custom optimised k-nearest-neigbours algorithm