Topic: knn-regression Goto Github
Some thing interesting about knn-regression
Some thing interesting about knn-regression
knn-regression,Data science project on Housing Prices Dataset regression analysis
User: ahmedshahriar
knn-regression,Regression Machine Learning Project
User: alaamahmoud95
knn-regression,Arquivos de aprendizado e projetos de machine-learning
User: alejandromrivero
knn-regression,Engineer's Thesis
User: aleksander-piprek
knn-regression,This is an exoplanet classifier for the final project of the AIN212 data science course. Publicly accessible data from NASA's exoplanet archive was used in the training and testing of this classification model.
User: alperozoner
knn-regression,All data mining machine learning algorithms are basically coded by displaying solutions with Python
User: aminzayer
knn-regression, I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset that Kaggle provides. The goal will be to build a predictive model for taxi duration time. I'll also be using Google Colab as my jupyter notebook. i will also predict without Google colab on normal system.
User: ankitamd
knn-regression,Implementation of Regression Models on Navigation with IMUs.
User: banaankiamanesh
knn-regression,Boston house price prediction.
User: bmshahrier
knn-regression,A recommendation system based on Artificial Intelligence to predict best-fit color palettes according to user input
User: bondbenz
Home Page: https://aipalettes.com
knn-regression,Transfer Learning Image Classifier knn image tensorflow js
User: burakberber
knn-regression,A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
User: davidcico
knn-regression,A LibreOffice Calc extension that fills missing data using machine learning techniques
User: dennisfrancis
knn-regression,Book recommender api written in flask framework
User: eltacshikhsaidov
Home Page: https://bookrecommenderapi.herokuapp.com/
knn-regression,K-NN Algorithm with various similarity measures
User: ghifarozarrr
knn-regression,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-regression,asthma-rates.com - predict asthma rates after changes in social policy - Data Science Capstone Project
User: howardvickers
Home Page: http://asthma-rates.com/
knn-regression,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-regression,stock price prediction with K Nearest Neighbors Regressor
User: juliushin
knn-regression,Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.
User: juwono136
knn-regression,Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.
User: keivanipchihagh
knn-regression,Machine Learning engine generates predictions given any dataset using regression
User: ltfschoen
knn-regression,A collection of machine learning models for predicting laptop prices
User: luluw8071
knn-regression,My exercises in the machine learning course
User: maryamboneh
knn-regression,Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
User: mbkraus
knn-regression,Machine Hack challenge to predict the flight ticket price. A detail description can be found on https://www.machinehack.com/course/predict-the-flight-ticket-price-hackathon/
User: mrkhan0747
knn-regression,In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
User: mukulsinghal001
knn-regression,This is a capstone project for FTW Foundation Data Science program that predicts the price of second-hand cars, and created by Elyse Go, Nicole Lumagui, Bernadette Misa and Jero Santos.
User: nicolelumagui
Home Page: http://nicolelumagui.pythonanywhere.com/
knn-regression,Real time chess video tracker
User: notsamdonald
knn-regression,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-regression,The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.
User: priyankasett
knn-regression,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-regression,Predict NYC taxi travel times (Kaggle competition)
User: rebeccak1
knn-regression,This project addresses problem of early detection of Parkinson disease using Machine learning techniques
User: sakshibabbar2019
knn-regression,My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla
User: salihkilicli
knn-regression,sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
User: sarvandani
knn-regression,Assignments of the ML Course at IIT Gandhinagar
User: sdeepaknarayanan
knn-regression,Prediction of Miles per gallon from cars dataset, using k-Nearest Neighbor Algorithm.
User: shreya13arora
knn-regression,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-regression,Leverage machine learning techiques to predict Capital Bikesahre demand
User: taweilo
Home Page: https://github.com/Taweilo/Capital_Bikeshare_Forecasting
knn-regression,Imagery pipeline utilizing neural networks
User: thomasthaddeus
Home Page: http://thomasthaddeus.com/NeuralNetworks/
knn-regression,Set of approaches aiming at the problem of predicting user behaviours in bike sharing systems. This project proposes a new heuristic solution - based on KNN algorithm with neural network as its distance function.
User: tomaszrewak
knn-regression,Predict Bike🚲 Rentals with Weather! This project uses regression to predict hourly bike rentals by combining historical usage data with weather information. It helps bike-sharing companies optimize resources and improve user experience.
User: tushar365
knn-regression,BBM409 Machine Learning Laboratory - Assignment 1 : KNN Classification and KNN Regression using k-Fold cross validation (OOP design for classifiers)
User: ugurcanerdogan
knn-regression,In the second edition of this Competition featuring data from Woogles.io, participants are challenged to predict the ratings of players based on Scrabble gameplay. The evaluation algorithm is RMSE.
User: vishwa5854
knn-regression,This repository contains projects related to KNN algorithm using R, Python
User: vivek2319
knn-regression,Prediction on energy consumptions of the city of Seattle in order to reach its goal of being a carbon neutral city in 2050.
User: yasarigno
knn-regression,Pong with Pygame and k-NN Prediction Algorithm (KNeighborsRegressor) for Opponent
User: zakariamejdoul
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.