Knn implementation without K parameter
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Updated
Jun 12, 2018 - Python
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.
Building a ML model that can predicts the species of the flower from the measurements of the petal and the sepal
AU331机器学习与知识发现课程项目——拍照矩阵计算器开发
DataHipsters is a service implementing MinHash similarity on a Key-Value Database (Google AppEngine/GCloud), including an API for k-nearest neighbors (k-nn) used in Online Recommender Systems.
Esse pequeno projeto tem como objetivo fazer testes de acurácia com rede neural com apenas um neurônio sem classificadores e com 2 (dois) classificadores, sendo eles KNN e 1R.
This is a repository to document my progress in learning the basics of common machine learning algorithms.
A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
Machine Learning Hyperparameter Optimization (Grid Search and Random Search)
Mini Project: k-Nearest Neighbors from Multiclass Classification dengan Algoritma Multinomial Naive Bayes dan k-Nearest Neighbors
Built a chatbot that answers questions from uploaded .txt files. The app stores the file content in a database, converts it into vector embeddings, and finds the most relevant parts when a user asks a question. It then uses OpenAI to generate an answer based only on the uploaded content.
Simple KNN project based on an unlabeled dataset (created artificially).
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