knn-regression

There are 1 repository under knn-regression topic.

MBKraus / Predicting_real_estate_prices_using_scikit-learn
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)
predicting-housing-prices real-estate machine-learning python knn knn-regression lasso-regression lasso ridge-regression decision-trees random-forest neural-network mlp-regressor ols polynomial-regression amsterdam multi-layer-perceptron xgboost polynomial ensemble-learning
Language:Python 150
BanaanKiamanesh / DL-for-Navigation
Implementation of Regression Models on Navigation with IMUs.
imu bno055 cpp python deeplearning neural-networks recurrent-neural-networks navigation 9-axis-imu bosch ahrs datacollection knn-regression support-vector-regression regression-models python3 tensorflow2 recurrent-neural-network raspberry-pi
Language:Python 14
bondbenz / aipalettes
A recommendation system based on Artificial Intelligence to predict best-fit color palettes according to user input
colors artificial-intelligence knn-regression knn color-picker prediction-model palette-generation palette-colors
Language:CSS 14
MaryamBoneh / MachineLearning-Course
My exercises in the machine learning course
python scikit-learn scipy matplotlib numpy adaline knn-classification knn-regression perceptron
Language:Jupyter Notebook 13
rebeccak1 / nyc-taxi
Predict NYC taxi travel times (Kaggle competition)
nyc-taxi-dataset kaggle-competition fastest-routes xgboost visualization-image python knn-regression linear-regression random-forest feature-engineering
Language:Jupyter Notebook 13
LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
feature-selection random-forest exploratory-data-analysis feature-engineering decisiontree gradient-boosting adaboost bagging knn-regression support-vector-regression ensemble-machine-learning kfold-cross-validation bootstrap supervised-learning supervised-machine-learning regression-algorithms
Language:Jupyter Notebook 11
salihkilicli / Python-Data-Science-and-Machine-Learning-Bootcamp-Projects
My solutions to projects given in the Udemy course: Python for Data Science and Machine Learning Bootcamp by Jose Portilla
numpy pandas matplotlib seaborn plotly machine-learning scikit-learn linear-regression logistic-regression knn-regression random-forest decision-trees kmeans-clustering svm deep-learning tensorflow keras neural-networks spark pyspark
Language:Jupyter Notebook 7
Sarvandani / Machine_learning-deep_learning_11_algorithms-of-regression
sklearn, tensorflow, random-forest, adaboost, decision-tress, polynomial-regression, g-boost, knn, extratrees, svr, ridge, bayesian-ridge
adaboost bayesian decision-trees deep-learning extratrees gradient-boosting keras-tensorflow kernel knn-regression machine-learning polynomial-regression random-forest regression-algorithms sklearn svr-regression-prediction
Language:Jupyter Notebook 7
ankitAMD / NYTaxi_XG_Boost_Challenge-kaggle_challenge
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.
nyc-taxi-dataset kaggle-competition fastest-routes xgboost visualization-image python knn-regression linear-regression random-forest feature-engineering python3 machine-learning deep-learning google-colab remote-server scikit-learn xgboost-model pandas numpy matplotlib
Language:Jupyter Notebook 6
bmshahrier / boston-house-price-prediction
Boston house price prediction.
boston-housing-dataset scikit-learn python pandas numpy linear-regression cross-validation gradient-boosting knn-regression docker
Language:Python 5
dennisfrancis / AutoFillMissingData
A LibreOffice Calc extension that fills missing data using machine learning techniques
missing-data knn machine-learning libreoffice-calc-extension knn-regression knn-classification
Language:C++ 5
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.
bot knn knn-algorithm knn-model knn-regression python3 rank ranking ranking-algorithm ranking-system telegram telegram-bot
Language:Jupyter Notebook 5
burakberber / knn-image-classifier-tfjs
Transfer Learning Image Classifier knn image tensorflow js
knn-classification knn knn-regression image-processing tensorflow-tutorials
Language:JavaScript 4
DavidCico / Self-implementation-of-KNN-algorithm
A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.
jupyter-notebook machine-learning algorithm machine-learning-algorithms scratch scratch-implementation k-nearest-neighbours knn-classification knn-regression python3 python
Language:Python 4
howardvickers / galvanize-capstone-asthma
asthma-rates.com - predict asthma rates after changes in social policy - Data Science Capstone Project
python flask jinja2 bootstrap aws-ec2 random-forest support-vector-machine knn-regression linear-regression sklearn numpy pandas gradient-boosting
Language:Python 4
sdeepaknarayanan / Machine-Learning
Assignments of the ML Course at IIT Gandhinagar
decision-trees linear-regression lasso-regression ridge-regression nearest-neighbors knn-regression knn-classification voronoi-tessellation active-learning gaussian-naive-bayes-implementation support-vector-machines svm-soft-margin svm-classifier cvxpy machine-learning-algorithms logistic-regression neural-networks
Language:Jupyter Notebook 4
vivek2319 / K-Nearest-Neighbors
This repository contains projects related to KNN algorithm using R, Python
knn knn-classification knn-regression python python3 python-3 rodeo-ide machine-learning machine-learning-algorithms numpy pandas scipy scikit-learn scikitlearn-machine-learning matplotlib seaborn
Language:Python 4
aminzayer / Amin-University-Data-Science
All data mining machine learning algorithms are basically coded by displaying solutions with Python
machine-learning data-science linear-programming deep-learning python3 python decision-tree candidate-elimination dbscan-clustering k-means-clustering hierarchical-clustering knn-classification id3 find-s data-mining distance-measures knn-regression
Language:Jupyter Notebook 3
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.
knn nn-predictive-control knn-classification knn-model knn-classifier knn-algorithm-proof knn-matting knn-regression knn-graphs knn-search mnist mnist-classification mnist-data mnist-handwriting-recognition mnist-classifier mnist-model mnist-nn pca pca-analysis
Language:Jupyter Notebook 3
ltfschoen / ML-Predictions
Machine Learning engine generates predictions given any dataset using regression
aws-lambda binary-classification continous-integration correlation cross-validation hyperparameter-optimization k-means-clustering knn-regression linear-regression logistic-regression matplotlib multi-classify-with-sklearn multivariate-models pandas-dataframes prediction-algorithm root-mean-squared-error-metric scikit-learn scipy similarity-metric unittest
Language:Python 3
MrKhan0747 / Flight-Ticket-Price-Prediction
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/
challenge cross-validation flight gradient-boosting knn-regression linear-regression machine-learning prediction predictive-modeling price-prediction random-forest support-vector-machines
Language:Jupyter Notebook 3
mukulsinghal001 / USA-Housing-Price-Prediction
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.
cross-validation decision-tree-regression hyperparameter-optimization knn-regression linear-regression linearregression regression regression-algorithms regression-analysis regression-model xgboost-algorithm
Language:Jupyter Notebook 3
skynoid2612 / 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
data-science machine-learning-algorithms machinelearning-r machine-learning-models machine-learning-regression exploratory-data-analysis missing-values feature-selection feature-scaling knn-regression knn-model decision-tree-regression random-forest-regression linear-regressor data-analysis data-visualization
Language:Jupyter Notebook 3
yasarigno / Predictions_on_Energy_Consumption_in_Seattle
Prediction on energy consumptions of the city of Seattle in order to reach its goal of being a carbon neutral city in 2050.
machine-learning linear-regression gradient-boosting lasso-regression ridge-regression knn-regression support-vector-machines random-forest-regressor elasticnet-regression folium-maps energy-consumption carbon-emissions feature-engineering
Language:Jupyter Notebook 3
AlaaMahmoud95 / Concrete-Compressive-Strength
Regression Machine Learning Project
adaboost-regression knn-regression lasso-regression lasso-regression-model lassoregression machine-learning machinelearning notebook numpy python randomforest-regression randomforestregressor ridge-regression sgd-regression sklearn svr svr-regression-prediction xgboost-regression
Language:Jupyter Notebook 2
ain212-exoplanet-classifier
alperozoner / ain212-exoplanet-classifier
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.
classification-model dataanalysis dataexploration datapreprocessing knn-regression logistic-regression-classifier
Language:Jupyter Notebook 2
eltacshikhsaidov / recommend-api
Book recommender api written in flask framework
bookrecommendsystem flask knn knn-algorithm knn-model knn-regression numpy pandas python python3 recommendation-systems sklearn recommend-api
Language:Python 2
Juwono136 / predictive-analytics-machine-learning-model
Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.
boosting-algorithms knn-regression machine-learning predictive-analytics random-forest-regression sklearn-library
Language:Jupyter Notebook 2
keivanipchihagh / ML-Models-from-Scratch
Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.
linear-regression lasso-regression ridge-regression regularization regression knn-classification knn-regression
Language:Python 2
LuluW8071 / Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
laptop-price-prediction machine-learning python adaboost-regressor decision-tree-regression ensemble-learning extra-tree-regressor gradient-boosting-regressor knn-regression lasso-regression multiple-linear-regression random-forest-regression ridge-regression stacking-ensemble svm-regressor voting-regressor xgboost-regression sckiit-learn streamlit
Language:Jupyter Notebook 2
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.
decision-tree-regression knn-regression lasso-regression linear-regression nltk pandas python random-forest-regression regression-analysis seaborn text-data tf-idf wordninja
Language:Jupyter Notebook 2
Prometheussx / Classification-Cancer-Data-With-K-NN
Making cancer classification with knn module (Kaggle Expression)
artificial-intelligence cancer-detection knn-algorithm knn-classification knn-classifier knn-model knn-regression machine-learning machine-learning-algorithms machine-learning-tutorials single-cell
Language:Python 2
Myntra-Discount-Prediction-Model
roshancharlie / Myntra-Discount-Prediction-Model
python machine-learning matplotlib prediction-model seaborn skit-learn kaggle discount knn-regression linear-regression myntra pandas random-forest
Language:Jupyter Notebook 2
Tushar365 / Bike-sharing-rental-prediction
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.
data-science decision-trees knn-regression linear-regression machine-learning matplotlib-pyplot numpy pandas seaborn
Language:Jupyter Notebook 2
KNN-Classification-Regression
ugurcanerdogan / KNN-Classification-Regression
BBM409 Machine Learning Laboratory - Assignment 1 : KNN Classification and KNN Regression using k-Fold cross validation (OOP design for classifiers)
python machine-learning knn-algorithm kfold-cross-validation knn knn-regression oop
Language:Jupyter Notebook 2
zakariamejdoul / pong-with-pygame
Pong with Pygame and k-NN Prediction Algorithm (KNeighborsRegressor) for Opponent
pygame pong-game knn-regression kneighborsregressor sklearn
Language:Python 2

knn-regression

MBKraus / Predicting_real_estate_prices_using_scikit-learn

BanaanKiamanesh / DL-for-Navigation

bondbenz / aipalettes

MaryamBoneh / MachineLearning-Course

rebeccak1 / nyc-taxi

LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

salihkilicli / Python-Data-Science-and-Machine-Learning-Bootcamp-Projects

Sarvandani / Machine_learning-deep_learning_11_algorithms-of-regression

ankitAMD / NYTaxi_XG_Boost_Challenge-kaggle_challenge

bmshahrier / boston-house-price-prediction

dennisfrancis / AutoFillMissingData

hassanzadehmahdi / Rank-estimation

burakberber / knn-image-classifier-tfjs

DavidCico / Self-implementation-of-KNN-algorithm

howardvickers / galvanize-capstone-asthma

sdeepaknarayanan / Machine-Learning

vivek2319 / K-Nearest-Neighbors

aminzayer / Amin-University-Data-Science

ibodumas / my_KNN_PCA_MNIST

ltfschoen / ML-Predictions

MrKhan0747 / Flight-Ticket-Price-Prediction

mukulsinghal001 / USA-Housing-Price-Prediction

skynoid2612 / Employee_Absenteeism

yasarigno / Predictions_on_Energy_Consumption_in_Seattle

AlaaMahmoud95 / Concrete-Compressive-Strength

alperozoner / ain212-exoplanet-classifier

eltacshikhsaidov / recommend-api

Juwono136 / predictive-analytics-machine-learning-model

keivanipchihagh / ML-Models-from-Scratch

LuluW8071 / Laptop-Price-Prediction

PriyankaSett / predicting_instagram_likes

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

roshancharlie / Myntra-Discount-Prediction-Model

Tushar365 / Bike-sharing-rental-prediction

ugurcanerdogan / KNN-Classification-Regression

zakariamejdoul / pong-with-pygame