An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
-
Updated
Mar 3, 2019 - Python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
A recommender system to recommend movies, books or shopping items list based on search.
Book recommender api written in flask framework
A Python based project to train a Machine Learning model to detect different hand shapes in real time with multi-threading, using Computer Vision, to control the PC.
This consists of various machine learning algorithms like Linear regression, logistic regression, SVM, Decision tree, kNN etc. This will provide you basic knowledge of Machine learning algorithms using python. You'll learn PyTorch, pandas, numpy, matplotlib, seaborn, and various libraries.
Personalized book recommendation system for a user.Similar to Goodreads.
Using k nearest neighbors (kNN) to predict if a person is going to buy a new car or not based on the available data
Making cancer classification with knn module (Kaggle Expression)
KNN & Gaussian Bayes Classifier
KNN is an algorithm from artificial inteligence, your propose is predict points.
A Streamlit application which provides analysis of different datasets using SVM, KNN and Random Forest algorithms.
Recognize Pokemon's image using scikit-learn in Python
A recommendation system for movies made with the KNN model. Data obtained from https://grouplens.org/datasets/movielens/latest/
In this notebook we'll see how to use KNN to classify the IRIS Flowers.
A Machine Learning project on Identifying Abnormal driving behavior using Spatio-Temporal analysis
Titanic
Creating a Model to predict if a user is going to buy the product or not based on a set of data
Vincent Van Bot: an app that will let you discover your new favorite paintings
From Scratch
Add a description, image, and links to the knn-model topic page so that developers can more easily learn about it.
To associate your repository with the knn-model topic, visit your repo's landing page and select "manage topics."