There are 1 repository under xgbregressor topic.
The aim of this project to see to do the prediction of the weather using the different types of machine learning model.
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
Stock and Crypto Price Prediction with TensorFlow, LSTM, Linear Regression and Streamlit
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.
A Machine Learning REGRESSION model to predict the math test score of those who participated in ENEM 2016.
Worked with Movies Meta Data to predict movies with higher revenue, analyzed the data to detect relationships between different variables impacting movie revenue. 🎬
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
Predict laptop price using XGBRegressor
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.
Complete algorithm that I developed for the Kaggle competition to predict the price of houses using regression methods with machine learning.
This project focuses on developing a Machine Learning model to predict housing prices in California.
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
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.
House Prices - Exploratory Data Analysis with Advanced Regression Techniques
(95,68% R²) Dapp that implements a tuned XGBRegressor for used car price forecast.
Laptop_Price_Prediction
A project showcasing how to deploy a trained model on both Azure and google cloud.
Using Machine Learning Regression Algorithms, Predicting the Energy Used by the Appliance.
Make prediction of big mart sales data using XGBRegressor machine learning model.
Student performance
Forecasting the energy to be produced from the wind based on meteorological factors such as humidity, heat, wind speed, season.
To Estimate the individual medical costs of customers who have bought the health insurance.
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.
App for testing productization & deployment of ML apps
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.
Locality Sensitive Hashing (LSH), and different types of collaborative-filtering recommendation systems
3 - Personal Project - Data Cleaning - Price Predictor - Brasília Apartments