xgbregressor
There are 36 repositories under xgbregressor topic.
Hrishikesh332/Weather-Forecasting-Using-ML
The aim of this project to see to do the prediction of the weather using the different types of machine learning model.
nikjohn7/News-Sentiment-Prediction
A data science challenge where you have to predict the human sentiment scores based on the Headline and the title, and according to the date given and the Social media platforms
mendez-luisjose/Stock-and-Crypto-Price-Prediction-with-TensorFlow-LSTM-and-Streamlit
Stock and Crypto Price Prediction with TensorFlow, LSTM, Linear Regression and Streamlit
SujanNeupane42/Medical-Insurance-Cost-Prediction
In this regression project, We will make use of different features like age, BMI, region, sex, smoker, etc to predict the medical insurance cost for an individual.
AlessandraFaria/Codenation-ENEM-XGBRegressor
A Machine Learning REGRESSION model to predict the math test score of those who participated in ENEM 2016.
AnanyaThukral/Movie-Prediction
Worked with Movies Meta Data to predict movies with higher revenue, analyzed the data to detect relationships between different variables impacting movie revenue. 🎬
datalopes1/stpetersburg_prices
A partir do dataset Real Estate Saint Petersburg 2014 - 2019 encontrado no Kaggle foi realizado um projeto para construir um modelo de regressão para prever preços de imóveis
himasai97/ML_Approaches
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
sabitendu/Capstone-Project-On-Appliance_Energy_Prediction
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
SURESHBEEKHANI/Wind-Turbine-Power-Curve-Analysis
Explore wind turbine power curve analysis techniques on Gitup. Find algorithms, datasets, and models for optimizing wind energy efficiency. Collaborate and innovate in renewable energy
trizkynoviandy/laptop-price-prediction
Predict laptop price using XGBRegressor
13Gitanjali/Calories-burnt-prediction
This repository contains the code for a machine learning project that predicts the number of calories burnt based on various factors such as age, weight, height, gender, and physical activity level. The project uses a variety of regression models and data preprocessing techniques to make accurate predictions.
andre442/Kaggle-Regression-Competition
Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
enescatagan/house-price-prediction
This project focuses on developing a Machine Learning model to predict housing prices in California.
hamzamohammed5/Machine-Learning-projects
i this repository i have put my projects in machine learning, this i have made by helping or explaination form youtube, or by my self
hemantkumar0506/Flight_Price_Prediction_WebApp
Using Flight price prediction web app, you can easily track flight fare that was offered by different airlines. It also helps you to compare different airlines and then book your flight accordingly.
himasai97/House_Pricing
House Prices - Exploratory Data Analysis with Advanced Regression Techniques
joao-vitor-souza/car-price-prediction
(95,68% R²) Dapp that implements a tuned XGBRegressor for used car price forecast.
Palemravichandra/Laptop_Price_Prediction
Laptop_Price_Prediction
sabbih-shah/ML-Cloud-Deployment
A project showcasing how to deploy a trained model on both Azure and google cloud.
SangramSnaik/BigMart_Sales_Prediction
Make prediction of big mart sales data using XGBRegressor machine learning model.
4702chahat/House-Price-Prediction
This project demonstrates a machine learning approach to predict house prices in California using the California housing dataset from the Seaborn library. The primary goal is to build a robust model that can estimate the median house values based on various features like median income, house age, and geographic location.
amruta33/End_to_End_Mlproject
Student performance
Devanshi1206/superstore_data_analysis
Superstore Data Analysis
enesbol/Wind-Power-Forecast
Forecasting the energy to be produced from the wind based on meteorological factors such as humidity, heat, wind speed, season.
hariprasath-v/Dphi-Data-Sprint-37-Medical-Insurance-Cost
To Estimate the individual medical costs of customers who have bought the health insurance.
harmanveer-2546/Finding-you-next-perfect-house
In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.
kpsijil2/Salesforecast
Predicting house price using various algorithm and hyperparameter tuning. It is a regression problem and using various regression algorithms. and getting the best score using XGBRegressor algorithm.
mtszkw/boston-ml-app
App for testing productization & deployment of ML apps
SalehAhmedShafin/Analyzing-House-Price-in-Bangladesh
It is the detailed collection of house listings from various cities and regions in Bangladesh, with a specific focus on Dhaka and Chittagong. It encompasses essential details such as location, property type, size, amenities, and pricing.
Saurabh-Vajramatti/Recommendation-Systems
Locality Sensitive Hashing (LSH), and different types of collaborative-filtering recommendation systems
sultanazhari/determining-market-value-of-a-car
Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.
varelaerick/Price-Predictor-Bras-lia-Apartments
3 - Personal Project - Data Cleaning - Price Predictor - Brasília Apartments
wjunneng/2019-ForecastScore
2019 "添翼"人工智能创新应用大赛-智慧教育通道 22/155