Collection of code covering various topics in Machine Learning

Implementation of weka k-NN and SVM classifiers in Java

This checks out data provided by the Kepler space telescope to study exoplanets.

Intro to k-NN with tensorflow

Predicting Mountain Goats Album Era with Sentiment Analysis

Python implementation of the k-nearest neighbor algorithm

I use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

In this project, different supervised machine learning algorithms like Decision Tree, Naive Bayes, K-nearest neighbour,Random Forsest, Logistic Regression etc. were trained on the training data set and then Ensemble Learning was used to improve the accuracy were

K-nearest neighbors classifier of breast cancer.

Análise de dados com pandas e previsão de dados usando o algoritmo de classificação k-NN (k-nearest neighbors).

Project built for the graduation thesis of Bruno Gois and Matheus Nascimento at the University Graduate Program of Computer Engineering - UniCEUB

A repo packed with common and important machine learning techniques and algorithm implementations using sklearn.

This was my finial paper for my Harvard Data Science Certification. This paper used machine learning to predict if a patient had heart disease or not.

From-scratch machine learning models with implementation tutorials.

k Nearest Neigbors in Java Applet - Remastered Edition

[Experiment] Approximate k-nearest neighbors (k-NN) with locality-sensitive hashing (LSH)

Web interface for querying the LAION-5B dataset using CLIP embeddings.

This repository contains a Python implementation of a K-Nearest Neighbors (KNN) classifier from scratch. It's applied to the "BankNote_Authentication" dataset, which consists of four features (variance, skew, curtosis, and entropy) and a class attribute indicating whether a banknote is real or forged.