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GitHub topics: xgboost-regression

somjit101/Netflix-Movie-Recommendation

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

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nidragedd/udadsnd-p4-airbnb_inside

Udacity DataScience nanodegree 4th project: pick a dataset, explore it and write a blog post

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kyaiooiayk/XGBoost-notes

Notes, tutorials, code snippets and templates focused on XGBoost for Machine Learning

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kaledhoshme123/A-proposed-model-that-can-predict-the-assessment-of-both-Syntax-Cohesion-Vocabulary-Phraseology-

The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue. It includes several steps through which a few errors were reached, all ranging between 0.25 for each criterion. The values ​​of the weights that were reached can also be used to deal with the issue as a classification process (but it was not dealt with as well in this proposed methodology).

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Bayunova28/Moderna_Vaccine_Stock

This repository contains about group final exam of machine learning course at my college

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anup-anny/Bike-Sharing-Demand-Prediction

Supervised Learning Project (Regression)

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DeleLinus/Supermarket-Sales-Prediction

This is a reviewed notebook to the DSN AI+ OAU July 2020 challenge where I took the first position. The project demonstrate proper Exploratory Data Analysis, categorical data handling, Data visualization, feature selection and engineering, Model selection and hyperparameter tuning of various regression algorithms.

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swarnava-96/Time-Series

Time Series Analysis and Forecasting with Python.

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andres-pb/Housing_Price_Prediction

This repository contains a housing price prediction exercise.

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starkjones/House-Prices-Advanced-RegressionKaggle-Exercise

Predicting housing prices using feature engineering and XGBoost and Sequential Modeling Models

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SF-Noorullah/Machine-Learning-with-XGBoost-and-RandomForest

Building Machine Learning Models with hyperparameter tuning by training a dataset containing more than a million rows to accurately predict the taxi trip duration in New york city

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izelcelikkaya/housepriceprediction

This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.

Language: Python - Size: 9.84 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 10

jeandsantos/predict_water_turbidity

Predict the quantity of turbidity, the level of product traces or suspended solids in the effluent, that will be returned in last rinsing phase during the cleaning of food and beverage industrial equipment

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apoorvaKR12695/Bike-Sharing-Demand-Prediction-

ML Supervised- Developed a regression model using algorithms such as Random Forest and XGBoost to predict the hourly demand of bikes.Performed hyperparameter tuning techniques and achieved R2 score of 92% using XGBoost model and reduced the public waiting time significantly.

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dsrodrigovieira/rossmannsales

Este repositório contém um projeto desenvolvido para praticar análise de dados e aplicação de modelos de regressão (aprendizagem supervisionada)

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dsrodrigovieira/favoritasales

Este repositório contém o projeto desenvolvido para o desafio do kaggle "Store Sales - Time Series Forecasting. Use machine learning to predict grocery sales"

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alibagheri7/R_Portfolio

Portfolio of R projects

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xiaorancs/chicken-sales-forecast

回归预测

Language: Python - Size: 284 KB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

WithDD97/Food-Demand-Forcasting

Predict the number of orders for the next Week in a restaurant.

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dtararuj/stores-sales-foreacast

food retail shops forecast

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-app-runner

How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.

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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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joaosoutto95/rossmann_ml

The objective of the project is to discover business insights based on public market data and use the findings in order to choose and train a prediction model. In this case, the sector evaluated is drug store, in which the company seeks to predict the turnover in the next 6 weeks. It is expected as a final product, a report with the performance of each store based on the prediction, and the performance of the machine learning model tuned.

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mtx13/MeAndFitbit

Exploratory analysis of personal Fitbit data

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SerhatDerya/House-Prices---Advanced-Regression-Techniques

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

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MitchellTesla/Max-Q Fork of arXiv-research/Quatm

Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing

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imane-ayouni/Weather-Forecast

Regression algorithms to predict the minimum temperature

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bdiptesh/CodeLib

Development of new ML library

Language: Python - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

imane-ayouni/California-Housing-Price-Predictions

Regression algorithms to predict the median house prices in California districts

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hariprasath-v/HackerEarth--cipla-data-scientist-hiring-challenge

This machine learning challenge is about predicting the loan sanction amount from the customer's basic account transaction details and requested loan amount.

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11dome11/Car-Price-Prediction

Predict car prices using several regression algorithms optimized through cross-validation

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kalsam123/Boston-House-price-prediction-using-regression

A machine learning web app for Boston house price prediction.

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john-d-noble/john-d-noble

Config files for my GitHub profile.

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copev313/30-Days-Of-ML-Competition

Some code written for Kaggle's 30 Days of Machine Learning [August 2021].

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izzypatrick21/bigmart-sales-forecast

Forecasting BigMart Sales. Data gotten from Kaggle -https://www.kaggle.com/brijbhushannanda1979/bigmart-sales-data

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mustafahakkoz/Bus_Utilization_Forecasting

Predict hourly bus utilization of municipalities. An advanced feature engineering on a time-series data with baseline model and comparison to sequential models.

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swarnava-96/Men-s-T20-Cricket-Runs-Predictor

A streamlit web app that predicts the first innings runs scored by a team taking the runs of the first five overs as input.

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sonu275981/Calories-burned-prediction

Calories burned prediction using machine learning

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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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Rnoozy/Guessing-Prices-Pizza

Guessing the prices of pizza, this Machine Learning model using Linear Regression, and this project inspired by YouTube channel indonesia_belajar

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hassangaber/KaggleHousingPrices

Predicting House Prices Using Regression

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MuhamedAhmed11/Regression-Capstone

Building different regression models on Concrete Data to get best Concrete Compressive Strength

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jirvingphd/predicting-the-SP500-using-trumps-tweets_capstone-project Fork of learn-co-students/dsc-5-capstone-project-online-ds-ft-021119

Forecasting S&P500 Price with Natural Language Processing (NLP) of Trump’s Tweets using Neural Networks.

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Soung-Low/films-box-office-prediction

Prediction of Films' Box Office based on film metadata and sentiment of film abstract

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EdoardoGruppi/IoT_Assignment

This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techniques are exploited.

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Rahulraj31/Power-Plant-Energy-Prediction-AI-Challenge

Dockship.io hosted a practice challenge named Power Plant Energy Prediction AI Challenge

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SamuelSousaFerreira/Previsao-de-Precos-no-Mercado-Imobiliario

Previsão dos preços dos imóveis em Ihoa, USA com 4 modelos de regresão, feature engineering com SelectBest.

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Abdulrahman-Adel/DengAI

Predicting Disease Spread

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likithponnanna/Boston-Housing-DataSet-Predictor

This repository contains Building, Training, Saving and deployment code for the model built on Boston Housing Dataset to predict Median Value of owner-specified homes in $1000s (MEDV).

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Neeleshweb/House-Selling-Price-Prediction-using-various-models

In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/leaderboard

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t-shikuro/Bulldozer-Blue-Book-Prediction

The goal of this machine learning contest is to predict the sale price of a particular piece of heavy equipment at auction based on it's usage, equipment type, and configuration.

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jasoriya/Mercari-Price-Suggestion-Challenge

Kaggle Competition

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jillm5/Supervised-ML

Examples of Supervised ML

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Related Keywords
xgboost-regression 353 machine-learning 162 python 92 linear-regression 86 random-forest 54 xgboost 54 data-science 51 random-forest-regression 48 pandas 38 regression 38 data-visualization 31 numpy 30 regression-models 29 python3 27 exploratory-data-analysis 27 feature-engineering 26 decision-tree-regression 25 machine-learning-algorithms 24 jupyter-notebook 24 sklearn 23 lasso-regression 21 seaborn 21 matplotlib 21 scikit-learn 21 streamlit 20 lightgbm-regressor 18 ridge-regression 18 data-analysis 16 flask 15 decision-trees 15 gridsearchcv 15 hyperparameter-tuning 13 prediction 13 time-series 13 ml 13 gradient-boosting-regressor 13 deep-learning 12 knn-regression 12 matplotlib-pyplot 12 gradient-boosting 12 kaggle-competition 11 logistic-regression 11 catboostregressor 11 xgboost-model 10 house-price-prediction 10 tensorflow 10 cross-validation 10 feature-selection 10 time-series-analysis 9 data-preprocessing 9 xgboost-classifier 9 random-forest-classifier 9 random-forest-regressor 9 eda 8 pipeline 8 keras 8 lightgbm 8 xgboost-algorithm 7 r2-score 7 lstm 7 randomforestregressor 7 predictive-modeling 6 neural-networks 6 price-prediction 6 svr-regression-prediction 6 prediction-model 6 adaboost 6 aws 6 elasticnet 6 outlier-detection 6 regression-analysis 5 regression-algorithms 5 deployment 5 forecasting 5 rmse 5 randomizedsearchcv 5 catboost-regressor 5 r 5 pca-analysis 5 ai 5 optuna 5 shap 5 streamlit-webapp 5 machinelearning 5 svr 5 ensemble-learning 5 lgbmregressor 5 pandas-dataframe 5 pytorch 5 knn 5 supervised-machine-learning 5 sales 5 support-vector-regression 5 time-series-forecasting 5 supervised-learning 5 ensemble-machine-learning 5 preprocessing 5 lstm-neural-networks 4 artificial-intelligence 4 flask-application 4