A simple python OCR engine using opencv
Implementation of KNN algorithm in Python 3
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Train, evaluate, and optimize implicit feedback-based recommender systems.
Serverless, lightweight, and fast vector database on top of DynamoDB
⚡ World’s Fastest Vector Database for AI & RAG
A look-alike model to identify potential clients based on certain characteristics from the existing customer base.
simple implementation of machine learning algorithm in pyhton
Panorama Image Stitching from scratch using openCV 🖼️ 🪡
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Information retrieval course project
An Intelligent Travel Recommendation Engine using TF-IDF Vectorization and KNN to predict optimal tourist destinations. Features a modular Python/Tkinter architecture and mathematical similarity scoring for personalized user experiences
Using the Knn algorithm, it detects whether the tumor is benign or malignant in people diagnosed with breast cancer.
Applying Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
Final project of Web Technologies course. Electronic components stock manager for MMR Driverless Team.
Helps in the analysis of plastics found in water bodies to track their uses to control water pollution
create the search engine to retrieve the text documents. (the information retrieval course project)
Computer Vision Based System to read the numbers in an Ishihara Plate test
Add a description, image, and links to the knn-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the knn-algorithm topic, visit your repo's landing page and select "manage topics."