Octree/Quadtree/N-dimensional linear tree

Knn implementation without K parameter

An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

A simple implementation of K Nearest Neighbors classifier model in python.

A semantic search engine to find questions semantically similar to given query using Elastic Search, Tensorflow, Universal Sentence Encoder, AWS Lambda, API Gateway

Machine learning and Deep learning project

AU331机器学习与知识发现课程项目——拍照矩阵计算器开发

Intro to k-nearest neighbors (KNN) with cuML.

Implementing classical Machine Learning algorithms from scratch

Machine Learning Hyperparameter Optimization (Grid Search and Random Search)

Recommendation System Using K-Nearest Neighbors .

A multiclass classification problem to classify malware classes.

C++ implementation for machine learning algorithm K-NN

Predicting the champion of the 2023 Cricket World Cup through the implementation of the Random Forest algorithm.

machine learning projects with python

Credit Card Fraud Detection: Study and Implementation

Image classification in the gastrointestinal tract with KNN and CNN

Demonstrating different Machine Learning Model

This project is an application for classifying the quality of coconuts using the K Nearest Neighbors algorithm. It is built with Streamlit for easy deployment.

Here we are making a predictive system to measure the sentiment of each review or tweet, whether it is 1 (Positive Sentiment) or 0 (Negative Sentiment). In this work, LGBM Classifier, XGBooost Classifier, CatBoost Classifier, Random Forest Classifier, Gradient Boosting Classifier, K-Nearest Neighbors, and Logistic Regression are used.