xgbregressor
There are 1 repository 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.
Language:Jupyter Notebook 11nikjohn7 / 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
Language:Jupyter Notebook 4mendez-luisjose / Stock-and-Crypto-Price-Prediction-with-TensorFlow-LSTM-and-Streamlit
Stock and Crypto Price Prediction with TensorFlow, LSTM, Linear Regression and Streamlit
Language:Jupyter Notebook 2SujanNeupane42 / 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.
Language:Jupyter Notebook 2AlessandraFaria / Codenation-ENEM-XGBRegressor
A Machine Learning REGRESSION model to predict the math test score of those who participated in ENEM 2016.
Language:Jupyter Notebook 1AnanyaThukral / 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. 🎬
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
charumakhijani / advanced-house-price-prediction
house-price-predictionkaggle-competitionskewed-dataoutlier-detectionexploratory-data-analysisdata-visualizationmissing-value-treatmentone-hot-encodingscalingkfold-cross-validationrmse-scorelasso-regressionelastic-net-regressionkernel-ridge-regressionsupport-vector-regressiongradient-boosting-regressionxgbregressorlgbmregressorrandom-forest-regressionensemble-modelsLanguage:Jupyter Notebook 1datalopes1 / 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
Language:Jupyter Notebook 1himasai97 / ML_Approaches
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
Language:Jupyter Notebook 1Ogarit / Analise_do_Setor_de_Marketing-Empresa_Ficticia
O projeto analisa os investimentos de uma empresa fictícia no YouTube, Facebook e Jornal, identificando os melhores retornos.
Language:Jupyter Notebook 1sabitendu / Capstone-Project-On-Appliance_Energy_Prediction
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
Language:Jupyter Notebook 1SURESHBEEKHANI / 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
Language:Jupyter Notebook 1trizkynoviandy / laptop-price-prediction
Predict laptop price using XGBRegressor
Language:Jupyter Notebook 113Gitanjali / 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.
Language:Jupyter Notebook 04702chahat / 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.
Language:Jupyter Notebook 0Andrewsy1004 / Linear-Regression-Model-for-House-Price-Prediction
A linear regression model to predict house prices based on features like size, location, and number of rooms. This project demonstrates the application of machine learning in real estate price estimation
Language:Jupyter Notebook 0enescatagan / house-price-prediction
This project focuses on developing a Machine Learning model to predict housing prices in California.
Language:Jupyter Notebook 0hamzamohammed5 / 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
Language:Jupyter Notebook 0hemantkumar0506 / 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.
Language:Jupyter Notebook 0joao-vitor-souza / car-price-prediction
(95,68% R²) Dapp that implements a tuned XGBRegressor for used car price forecast.
Language:Python 0KasiMuthuveerappan / FintechCapstone-LoanDefaulters
📗 This repository contains the EDA of loan defaulters, analyzing factors like loan type, ROI, and credit scores. It utilizes Random Forest and XGBoost to clean discrepancies, providing insights to enhance risk assessment and inform lending strategies, making it ideal for financial analysts to mitigate loan default risks.
Language:Jupyter Notebook 0Moomin03 / Seoul_House_Prediction
2014년부터 2023년까지 서울시 집값 데이터 분석 및 예측 프로그램입니다.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
Palemravichandra / Laptop_Price_Prediction
Laptop_Price_Prediction
Language:Jupyter Notebook 0SangramSnaik / BigMart_Sales_Prediction
Make prediction of big mart sales data using XGBRegressor machine learning model.
Language:Jupyter Notebook 0amruta33 / End_to_End_Mlproject
Student performance
Language:Jupyter NotebookDevanshi1206 / superstore_data_analysis
Superstore Data Analysis
Language:Jupyter Notebookenesbol / Wind-Power-Forecast
Forecasting the energy to be produced from the wind based on meteorological factors such as humidity, heat, wind speed, season.
Language:Jupyter Notebookhariprasath-v / Dphi-Data-Sprint-37-Medical-Insurance-Cost
To Estimate the individual medical costs of customers who have bought the health insurance.
Language:Jupyter Notebookharmanveer-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.
Language:Jupyter Notebookkpsijil2 / 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.
Language:Jupyter Notebookmtszkw / boston-ml-app
App for testing productization & deployment of ML apps
Language:Jupyter NotebookSalehAhmedShafin / 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.
Language:Jupyter Notebooksultanazhari / 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.
Language:Jupyter Notebookvarelaerick / Price-Predictor-Bras-lia-Apartments
3 - Personal Project - Data Cleaning - Price Predictor - Brasília Apartments
Language:Jupyter Notebook
