xgboost-regressor
There are 22 repositories under xgboost-regressor topic.
Rahulgarg95/fitbit-calorie
A regression model to predict calories burnt using values from multiple sensors.
Mehrab-Kalantari/Multi-Modal-House-Price-Estimation
House price estimation from visual and textual features using both machine learning and deep learning models
YomnaAhmed97/Head-Pose-Estimation
Worked on AFLW2000-3D dataset which is a dataset of 2000 images. The regression model of predicting the 3 angles (pitch - yaw - roll) of head pose estimation was XGboost Regressor.
jofaval/xgboost-cheatsheet
Quick cheatsheet about XGBoost, a Gradient Boosted regularized technique published in 2014
prateekagr21/Predicting-Sales-of-Video-Games
Doing Analysis of the sales of video games across the globe and predicting the sales using various Machine Learning Algorithms
amirragab-ds/Sales-Data-Analysis-and-Forecasting-Using-Ensemble-Methods
Sales Data Analysis and Forecasting Using Ensemble Methods
anmol111pal/Abalone-Age-Prediction
The goal of this project is to predict the age of abalone using various physical measurements. The dataset used for this task is the Abalone dataset from Kaggle. The age of abalone is determined by the number of rings, which is the dependent variable in this study.
DataScienceVishal/Boston_House_Price_Prediction
Predicting house prices in Boston using the XGBoost regressor model.
OmerGamie/mlproject
This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
prajwalDU/Bike-sharing-demand-prdiction-prajwal
Bike Sharing Demand Prediction By Supervised Machine Learning Algorithms Implementation On Seoul Bike Sharing Dataset
prateekagr21/Black-Friday-sales-prediction
Analysis and prediction of the sales data during Black Friday sale using some Machine Learning Algorithms.
PriyeshDave/Site-Energy-Intensity-Predictor
In this project, a regression-based performance prediction model was developed to estimate building energy consumption based on simplified façade attribute information and weather conditions.
raghavendra17/Cab-Booking-Prediction
Build a Machine Learning model to predict the total count of cabs booked in each hour by the new data. Research on Cyclic features
rajeevvhanhuve/Mercedes-Benz-Greener-Manufacturing
Machine Learning
Sahaj-26/House-Price-Prediction
The project aims to predict house prices in California based on various features using machine learning techniques. It uses the California housing dataset, comprising 20640 data entries and 8 attributes, with the target being the house price.
Yoojin730/DataModeling_forRightofMobility
2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>
Abhik35/Data-Science-Assignment-reunion-
A person’s creditworthiness is often associated (conversely) with the likelihood they may default on loans.
dyavadi8769/Student_Performance_Indicator
This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.
Mehrab-Kalantari/Advanced-House-Price-Prediction
Predicting house prices using advanced regression algorithms
METALXRAY/House-Price-Prediction-using-Machine-Learning-with-Python
Prediciting the Prices of House using the Boston House Price Dataset by applying the XGBoost Regressor Model
sonadukane18/Black_Friday_Sales
This Project deals with determining the product prices based on the historical retail store sales data. After generating the predictions, our model will help the retail store to decide the price of the products to earn more profits.