knn-regression | Topic | Ecosyste.ms: Repos

Topic: "knn-regression"

MoliBay/BostonHousePrediction

全连接网络/最小近邻实现波士顿房价预测

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Ishuardev/Pima-Indians-and-the-Diabetic-Epidemic

We run the dataset of Pima indians through different learnt Machine Learning techniques using R and then interpreting the results in terms of our research questions and purpose. From this, we were able to deduce the best algorithm as well as the most influential variables for the onset of diabetes with proper mathematical reasoning provided.

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ramahasiba/Car_Price_Prediction

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Gui-Sitton/Zyfra

The company develops efficiency solutions for heavy industry. The model should predict the amount of pure gold extracted from gold ore. You have the data on extraction and purification. The model will help optimize production and eliminate unprofitable parameters.

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martamanevska/Machine-Learning-Techniques-Projects

Data Understanding, Data Preparation and Integration, Regression and Classification Modeling and Clustering Techniques.

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EmamulHossen/KNN_Assignment_7.2

The K-Nearest Neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used for both classification and regression tasks.

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Marksman007577/Machine-Learning-and-Data-Science

Machine Learning and Data Science with Python

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EmamulHossen/K-Nearest-Neighbors-Assignment-7.1

K-Nearest Neighbors (KNN) is a simple and intuitive machine learning algorithm used for classification and regression tasks. It falls under the category of instance-based learning or lazy learning algorithms.

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Ola76/Titanic_Dataset

In the project, Titanic data was obtained from Kaggle.com. The aim is to understand the survival rate and classes on the passengers.

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Gopinathalpha7/Machin-Learning_Notes

[ Simple steps to learn Machine learning models ]

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Ch3ekiBr3eki/popular_videogames

EDA analysis and a couple of models from classical machine learning on actual data as of 12.07.2023 about video games. Dataset from kaggle link in readme.

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sean-atkinson/machine_learning_real_estate_forecasting

A project focused on predicting housing prices using regression modelling.

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Palemravichandra/Electricity-Prediction

Electrical_Power_Generation_Prediction

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Preetirai-tech/Bike-Sharing-Demand-Prediction

This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.

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PriyankaSett/predicting_instagram_likes

The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.

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mauricio-sj/Trabalho_02_Introducao-ao-Aprendizado-de-Maquina-ENGG67

Análise de classificação utilizando o algoritmo k-NN no conjunto de dados Iris e analise de regressão utilizando o algoritmo k-NN no conjunto de dados do setembro amarelo

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Palemravichandra/Laptop_Price_Prediction

Laptop_Price_Prediction

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danielchristopher513/Stock_Prediction_Using_Machine_Learning

This repository contains code for predicting stock prices using various machine learning models. The models implemented include Linear Regression, SVM Regression, KNN Regression, Kernel Ridge Regression, and Ridge Regression.

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bonneraj/retail_sales_time_series

A repo containing a few exploratory notebooks for statistical (ARIMA) and supervised ML (random forest, KNN) approaches to time series analysis of monthly retail sales (sourced from St. Louis Fed). Notebooks also explore the use of MLFlow for experiment tracking, model registration, and deployment/inference.

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badhonparvej481/k-Nearest-Neighbors_ML

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shreyashmyakal/AutoMobile-Price-Prediction

The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning.

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Oxygen-Oriented-Programming/Clean-Air-Compass-GeoJson-FastAPI

FastAPI for gathering LocationIQ bounding box and PurpleAir Sensor Data then creating interpolated GeoJson using KNN-Regression

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Oxygen-Oriented-Programming/clean-air-compass-mapping-api-serverless

Serverless version of geoprocessing and geostatistics engine for the clean air compass app

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KanikaMaheshwari1112/Horizontal-Photovoltaic-Power-Prediction-analytics-for-12-sites

Primary aim of this project is to build machine learning model that should be able to predict the solar power output of the 12 different location of the Northern Hemisphere according to the provided dataset.

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YasmineJedidi/Data-Analytics-Python-Projects-Set1

This is set one of my data analytics projects with python (beginners set). It covers basics like data cleaning, correlation, descriptive statistics, as well beginner projects for KNN classification and regression, decision trees, and random forest.

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AbhiTyagi152/House-Pricing-Predictions-Using-Mulitple-Linear-Regression-and-k-NearestNeighbor-kNN-

The objective was to precisely determine the worth of real estate and identify the significant factors that directly impact property prices. To forecast housing prices, the research employed two models, namely, multiple linear regression and k-Nearest Neighbours (kNN).

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Navneet2409/bike-sharing-demand-prediction

The goal of this project is to predict the demand for Seoul's Bike Sharing Program. A dataset (8760,14) containing historical usage patterns, such as temperature, time, and other relevant data is used to build a regression model.

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BossaMuffin/ML_TwitterBuzzAnalysis

[2022-12] A jupyter notebook which uses a buzz dataset from twitter to predict to buzz features

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akikelena/ML_BikeRental

Team student project for Pattern recognition course.

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letdatado/Machine-Learning

This repository contains my work on Machine Learning with Python using scikit-learn library

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EdinZiga/StockTrendForecastingWithR

Final project for CS512 Machine Learning in Medicine and Health. Implementation of ARIMA, RKNN and FFNN models for stock price forecasting

Language: R - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kpsijil2/Cement-Manufacturing

Predicting cement strength

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LoyumM/House-price-prediction

Regression with Linear Regression, Decision Trees, KNN and Random Forest.

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trizkynoviandy/qsar-fish-toxicity

Analyze the quantitative structure-activity relationship to predict acute aquatic toxicity towards the fish Pimephales promelas (fathead minnow) on a set of 908 chemicals

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Shuvob4/New-York-AirBnB-Price-Prediction-with-Supervised-Machine-Learning-and-EDA-of-AirBnB-Listings

New York being one of the most attractive tourist spot in the world . Aim of the project was to predict the price of AirBnB properties of New York as well as Exploratory Data Analysis of New York AirBnB listings.

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SHYAM1399/Datascience

Exploratory Data Analysis, Data Visualization, Machine Learning

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jan1577/silicon-valley Fork of robbenB-123/SiliconValley

Descriptive and Predictive Analysis of bike-sharing demand

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MahindaMK/Fuzzy-k-nearest-neighbor-regression-python-code

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DivyaMaggu/Working-of-KNN-Algorithm

It is giving a basic idea of implementation of K Nearest Neighbors algorithm.

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manujbsharma/Credit_Card-Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions using machine learning models.

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apoorva2000ojha/recommendation

This is the code for the movie recommendation app built for Microsoft Engage 2022 project.

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DavidMasila/Python-Machine-Learning

Machine Learning with Python

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ManinderpreetPuri/Machine-learning-models

Built neural networks (NNs) and Regression models for supervised learning. The NN task is formulated as multi-class classification problem for hand-written images, and the goal is to model the relationship between an image’s content and label. Also uses knowledge on Regression models to predict housing prices in Boston to develop Machine Learning skills.

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HenyerM/Predicting-Car-Prices

In this project we will practice some machine learning workflow to predict a car's market price using its attributes.

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gabriel-solon-padilha/predicao_precoscasas_House_Prices_regression

Sétimo mini projeto de data science em que pude usar diversos modelos de regressão para prever o preço das casas a partir de um conjunto diversificado de features

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MeLio01/NBA-score-prediction-KNN

Predicting score of NBA players using K-Nearest-Neighbours

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ritvik-garg/ML_Algorithms_from_scratch_1.0

Implement Supervised Machine Learning algorihtms from scratch

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rimshasaeed/Net-Hourly-Electrical-Power-Prediction-via-Regression

An intelligent and accurate hourly electricity power prediction system developed using ML regression techniques.

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derekngoh/HDB-Resale-Flat-Valuation

HDB flats resale price prediction. Neural network in Python. Machine learning models in R. Data pre-processing, feature engineering and feature selection mainly in R.

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kwilson-tech/Salary-Predictions-NBA-2K20-

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sinaaghaee/Three_Classic_ML_Projects_Regression_Classification_Clustering

House Price Prediction, Heart Disease Detection and Customer Segmentation with Python

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prankur16shukla/Air_Quality_Index_Prediction

In this Regression project we extracted the data related to Air Quality Index from a Website. We have pre-processed the extracted data and made predictions on the AQI based on other factors. We have solved this problem by different algorithms along with Hyper Parameter Tuning.

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Kush-Trivedi/Logistic-Regression-K-NN-for-Heart-Attack

Various predictor factors to try to generate a forecast about heart disease patients and Logistic regression and K-Nearest Neighbor to develop a model to predict whether the patients have heart disease or not for the analysis, Finally Some basic visualizations.

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MatthewStoneMBA/Python-Spotify-Analysis

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alirezashadmani/Machine-Learning-Initial

Initial understanding of machine learning techniques

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tobiapoppi/flight-taxi-out-prediction-ML

A Machine Learning project about a regression problem for the prediction of Taxi-out time in flights, using 9 different ML models, with different algorithms and data-scaling.

Language: Python - Size: 533 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

NursultanBS/COVID19-Healthy-Diet-Prediction

Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling

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mansi-k/ML_basic_algos

Contains KNN regression, Linear regression, KNN classification and Decision trees (using gini index, entropy & misclassification rate), all implemented from scratch.

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Raghuls-github/Best-Classifier

Set of codes and algorithms to find various regression and further the Jaccard score, F1 score, and logloass.

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Abir0810/covid-19-project-dataanalysis-ml

Work has been done on COVID-19 Bangladesh situation .Where Data Analysis, Data Visualization, Supervised Learning and Unsupervised Learning are used.

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sachink1729/Regression-Algorithms

This is my college practice work, where i try to learn and cover all the regression algorithms (preferably in python)

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cnrkaya/video-transition-time-estimation

Video transition time estimation with different regression techniques

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rajadevineni/Applied_Machine_Learning

This repository consists of the homework assigments as part of BUAN 6341 - Applied Machine Learning. The solutions in this repository are to be used strictly as reference purposes only. Copying or submitting the same solutions found in this repository violates the UTD honor code

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rajadevineni/House_Price_Prediction

This is a competition for UT Dallas MIS/BUAN students. The purpose of this competition is to evaluate pre-processing steps and use pipelines. The competition is based on a subset of data from Kaggle Competition: https://www.kaggle.com/shree1992/housedata

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KarthikMurugadoss1804/Implenting-kNN-from-Scratch

In this project, I intend to implement k Nearest Neighbours from scratch without using any high-level libraries

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fzehracetin/regression-with-knn

In this project, I will be implementing the K Nearest Neighbours Algorithm in Python. I did not use any library for the KNN algorithm. I used an insurance dataset from Kaggle. I made a simple GUI with Tkinter.

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japana26/math-scores-ml-project

Predicting Math Scores for Brazilian high School National Exams

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maciej-zieniewicz/predict_cereal_ml

A simple project to familiarize with knn and RF classification and regression models.

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pkasela/Data-Science-Lab-Project

Project of Data-Science-Lab a.y. 2018/2019

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akhileshravi/KNearestNeighbours

This repository has a code (function) for K-Nearest Neighbours models. The model is tested on a dataset and compared with the slkearn KNN models. There is runtime analysis and accuracy analysis of the sklearn KNN models for classification and regression.

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