Topic: knn-model Goto Github
Some thing interesting about knn-model
Some thing interesting about knn-model
knn-model,Personalized book recommendation system for a user.Similar to Goodreads.
User: aayushkumarjvs
Home Page: https://www.goodreads.com/
knn-model,For this project, we'll be using a non-parametric classification method, k-nearest neighbors algorithm, to compress images.
User: ajaleel-ds
knn-model,Stock market analsis with python tools
User: akashg94
knn-model,Performed Clustering Analysis using SAS v9.4 on Power Usage & Consumer Goods Data to draw insights about the dataset.
User: aniket-thopte
knn-model,B.Tech final year project (Research Project)
User: arnavgarg123
knn-model,Data Mining on Amazon Fine Food Reviews Dataset. It also depicts a detailed comparative analysis of accuracies in various ML-Models.
User: as3eem
knn-model,KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
User: ayoub-etoullali
knn-model,The goal of this report is: -predicting a transformation of the player `Position` variable, -predicting player's market `Value` by predictive machine learning modeling in R with "tidymodels" package.
User: babakbar
knn-model,Scripts for machine learning algorithms in MATLAB/Octave and python
User: bharatsikka
knn-model,Execução Scripts do Livro Mastering Machine Learning Packt
User: bkuasney
knn-model,KNN & Gaussian Bayes Classifier
User: davidhaohanli
knn-model,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.
User: dhi13man
knn-model,python code to perform k-means clustering in a diversified consumer base
User: dresspd
knn-model,Book recommender api written in flask framework
User: eltacshikhsaidov
Home Page: https://bookrecommenderapi.herokuapp.com/
knn-model,We investigated the performance of the K Nearest neighbours and the Decision Tree machine learning models. We compared them based on their classification accuracy on the UCI Hepatitis and Diabetic Retinopathy datasets.
User: enzo2806
knn-model,We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.
User: enzo2806
knn-model,Program to check spam chat with KNN Models
User: fyrndly
knn-model,Applying Naive Bayes Algorithm to determine if breast cancer is benign or malignant
User: gaelblanchard
knn-model,Machine learning models to classify exoplanets from the raw dataset. Using Python: Sklearn, Joblib, NumPy, Pandas, Matplotlib.
User: hanesy
knn-model,The task was given by Innomatics to get the internship in Data Science
User: harrshavardhan
knn-model,In this program, I used the KNN model to estimate Iranian universities' entrance exam (konkur) rank, and I also developed a telegram bot so users could use it.
User: hassanzadehmahdi
Home Page: https://t.me/rank_estimation_bot
knn-model,Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
User: ibodumas
knn-model,A recommendation application which suggest anime's using a dataset of anime's.
User: kamathhrishi
knn-model,Métodos para extração de outliers
User: katheringriffi
knn-model,A Survey on ML Techniques for Airbnb Price Prediction
User: kk289
knn-model,KNN Classifire by using Python and Jupyter NoteBooks
User: leanerr
knn-model,Loss J's statistical machine learning course. 🚀
User: lossj
Home Page: https://space.bilibili.com/161784330
knn-model,Analyzing the wisconsin breast cancer dataset using ml algorithms
User: mohahanin
knn-model,The dataset is about past loans. The loan_train.csv data set includes details of 346 customers whose loans are already paid off or defaulted.
User: muhammadusmantipu
knn-model,the challenge : write a KNN Algorithm that 1.Must be able to accept both numeric and categorical features. 2.Must at least perform classification, regression is optional. 3-Use Gower distance (Minkowski’s for continuous and Jaccard for categorical 4.Use Titanic data to predict survival and IRIS to predict type
User: nemshan
knn-model,This project implements the K-Nearest Neighbors (KNN) algorithm for classification purposes. KNN is a simple and effective algorithm for classifying data points based on their similarity to other data points in a given dataset.
User: okdotdev
knn-model,An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
User: pragmaticpython
knn-model,Making cancer classification with knn module (Kaggle Expression)
User: prometheussx
Home Page: https://www.kaggle.com/code/erdemtaha/prediction-cancer-data-with-k-nn-95
knn-model,The Projects Features Detection of Breast Cancer Using Machine Learning. It has been tested that while there exists several machine learning models,Support Vector Machine or SVM in short is reported to have highest accuracy of (approximately 97%) in detecting breast cancer.
User: ramandhiman527
knn-model,It's an app which takes in voice input of food and amount, Outputs the number of macronutrients and recommends food for a balanced diet.
User: sasikiran16
knn-model,KNN is an algorithm from artificial inteligence, your propose is predict points.
User: sergionoivak
knn-model,Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.
User: sheetalbongale
knn-model,The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism
User: skynoid2612
knn-model,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.
User: subhangisati
knn-model,This is a classification of iris flower using k nearest neighbour classifier
User: sujaydas1999
knn-model,This is a from scratch implementation of the K-nearest neighbors model in TensorFlowJs
User: tvdaredevil
knn-model,Image processing with python and Machine learning. This is about analyzing Ayurveda plants and detection through uploading an image of plant leaves or flowers.
User: udaris
knn-model,K Nearest Neighbours in Python
User: vaitybharati
knn-model,Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM
User: wb-az
knn-model,Yoga Pose Detection and classification using deep learning
User: ymayanand
knn-model,A recommender system to recommend movies, books or shopping items list based on search.
User: yourappsgeek
knn-model,AI-Models
User: zahraa-m
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