Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

Just a KNN from scratch using Python.

This repository contains the implementation of a diabetes detection system utilizing machine learning algorithms. The goal is to predict whether a patient has diabetes based on diagnostic measurements.

A multimedia search engine built using face embeddings and multidimensional indexing techniques for efficient retrieval of face images

Get to know what personality you fall into by answering the given questions.

Solar radiation Prediction Cameroon

Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

The Sentiment Analysis and Topic Modelling of Tokocrypto Application Code Program

Machine Learning Library for Classification Tasks

Image classification done on a dataset with 10 classes using 3 different models, CNN self created, CNN ResNet50 and KNN

Machine learning library for classification tasks

Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.

Machine learning library for classification tasks

Machine learning library for classification tasks

Desenvolvimento de Algoritmos de Inteligência Artificial. Trabalho de implementação do algoritmo KNN na base de dados iris.data

A simple KNN algorithm in Javascript that can be used to classify data

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Data Analysis and Machine Learning Techniques for Liver Disease Prediction