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

Final project of Web Technologies course. Electronic components stock manager for MMR Driverless Team.

This project aims to analyze the sentiment of reviews by implementing a review polarity classification system. I will compare the performance of three different feature representations, namely Bag of Words, TFIDF, and Word2Vector using KNN Algorithms

Given the list of locations of customers who frequently order Pizza we want to find out optimal locations of Pizza Parlours where they should be opened.

Solar radiation Prediction Cameroon

Data Mining | Machine Learning

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

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.

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