knn-model

There are 108 repositories under knn-model topic.

  • Wb-az/timeseries-sensor-anomaly-detection

    Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

    Language:Jupyter Notebook13102

  • pragmaticpython/k-nearest-neighbors-python

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

    Language:Python10003
  • Rank-estimation

    hassanzadehmahdi/Rank-estimation

    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.

    Language:Jupyter Notebook6110

  • a3X3k/Spam-Email-Detection

    5100

  • yMayanand/Yoga-Pose-Classification

    Yoga Pose Detection and classification using deep learning

    Language:Java4102

  • yourappsgeek/Recommer-System

    A recommender system to recommend movies, books or shopping items list based on search.

    Language:Python4200

  • akashg94/StockMarketAnalysisAndMLPrediction

    Stock market analsis with python tools

    Language:Jupyter Notebook3201

  • AkashSaxenaOfficial/Employee_Absenteeism

    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

    Language:Jupyter Notebook3003

  • ibodumas/my_KNN_PCA_MNIST

    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.

    Language:Jupyter Notebook3002

  • mohAhanin/Breast-Cancer-Analysis

    Analyzing the wisconsin breast cancer dataset using ml algorithms

    Language:Jupyter Notebook3100

  • aayushkumarjvs/Next-Tech-Reads

    Personalized book recommendation system for a user.Similar to Goodreads.

    Language:Python2202

  • arnavgarg123/Vocal-Data-Analysis

    B.Tech final year project (Research Project)

    2102

  • Dhi13man/CV-HandGestureControl

    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.

    Language:Python2100

  • eltacshikhsaidov/recommend-api

    Book recommender api written in flask framework

    Language:Python2100

  • LossJ/Statistical-Machine-Learning

    Loss J's statistical machine learning course. 🚀

    Language:Jupyter Notebook2100

  • sheetalbongale/Recommender-Systems-Machine-Learning

    Exploring Recommender Systems using various Machine Learning Models like scikit-learn, Surprise, NLP and collaborative filtering using KNN and Tensorflow.

    Language:Jupyter Notebook2204

  • SubhangiSati/Machine-Learning

    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.

    Language:Python2100

  • ajaleel-ds/KNN-Image-compression

    For this project, we'll be using a non-parametric classification method, k-nearest neighbors algorithm, to compress images.

    Language:Jupyter Notebook1102
  • KNN-Algorithm

    Ayoub-etoullali/KNN-Algorithm

    KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.

    Language:C110

  • BabakBar/FIFA-Predictive-Machine-Learning

    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.

    Language:HTML1201

  • Enzo2806/KNN-DecisionTree

    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.

    Language:Jupyter Notebook1100

  • Enzo2806/Logistic-Multiclass

    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.

    Language:Jupyter Notebook1100

  • FyrnDly/Spam-Chat-IND

    Program to check spam chat with KNN Models

    Language:Jupyter Notebook1100

  • Harshal2675/Abnormal-Driving-Behavior

    A Machine Learning project on Identifying Abnormal driving behavior using Spatio-Temporal analysis

    Language:Python110

  • Janki-Vallabham/ApplicationStreamlit

    A Streamlit application which provides analysis of different datasets using SVM, KNN and Random Forest algorithms.

    Language:Python110

  • katherinGriffi/M-todos_extra-o_outliers

    Métodos para extração de outliers

    Language:Jupyter Notebook1100

  • kshitizrohilla/iris-flower-classification-using-k-nearest-neighbor-algorithm

    This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.

    Language:Jupyter Notebook1104

  • MuhammadUsmanTipu/Classification-IBM-Project

    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.

    Language:Jupyter Notebook1100

  • Najrul-Ansari/KNN-Project

    This repository contains a machine learning project that utilizes the k-Nearest Neighbors (KNN) algorithm for image classification. The goal of the project is to demonstrate the effectiveness of KNN in identifying and classifying images based on their features.

    Language:Jupyter Notebook1100

  • Prometheussx/Classification-Cancer-Data-With-K-NN

    Making cancer classification with knn module (Kaggle Expression)

    Language:Python1100

  • sasikiran16/Voice-Recognition-Diet-Planner

    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.

    Language:CSS1100

  • singh-dhruv/Data-Visualization-with-Accuracy-metrics

    Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.

    Language:Jupyter Notebook1100

  • TaniaST/Driver_Injury_Prediction-Multiclass_Classification_for_Imbalanced_Dataset

    Multiclass classification task for imbalanced dataset using Random Forest, K-Nearest Neighbors, Support Vector Machines, XGBoost and CNN models.

    Language:Jupyter Notebook1

  • udaris/Final-Year-Project

    Image processing with python and Machine learning. This is about analyzing Ayurveda plants and detection through uploading an image of plant leaves or flowers.

    1100

  • vaitybharati/KNN

    K Nearest Neighbours in Python

    Language:Jupyter Notebook110

  • XmanJL/TV-Recommender

    A Web TV-show/Movie Recommender engine

    Language:TypeScript1