krishcy25/Building-several-Regression-MachineLearning-Algorithms-for-ContinuousOutcomePrediction

This repository focuses on building several Regression Models-Linear Regression, XGBoost Regressor, Ridge Regression, Lasso Regression, Polynomial Regression that predicts the continuous outcome (House Prices) along with several Data Preparation Techniques (Transformations/Scaling, Imputation, Filtering of Outliers, Handling of correlated features, One Hot Encoding)

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Sahitya30112003/SSL_Project

College Rank Predictor

Language: Python - Size: 699 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

samruddhi3012/Insurance-Price-Forecasting

This is a Machine Learning project where I performed EDA and forecasted the insurance pricing using Linear Regression and XGBoost Regressor.

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AtheerAlzhrani/ml-projects

ML projects, which I worked on utilising different machine learning algorithms.

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Geeth-Priya/COPPER-MODELLING

The main objective of this project is to predict the selling price using Regression Models and identify the product status using the Classification Models. Streamlit is used to enhance accessibility and usability, allowing the users to obtain predictions for selling price and product status.

Language: Python - Size: 4.62 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

datalopes1/flight_pricing

Project to predict flight tickets prices using XGBoost

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shreenidhi7700/Auto_Price_Prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

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ozerzeynep/KONTR_FIRMA_ANALIZ

Bu proje, Kontr firmasının borsa verilerini kullanarak hisse senedi fiyatlarının gelecekteki değerlerini tahmin etmeye yönelik gelişmiş makine öğrenimi modelleri içerir. Farklı algoritmalarla performans analizi yaparak yatırım kararlarını destekleyici öngörüler sağlar.

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pddiii/2024-NHL-Standings

Predicting the 2024 Stanley Cup champion using machine learning.

Language: R - Size: 2.81 MB - Last synced at: 12 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ohyeahismyname/XGBOOST_GUI

worst XGBOOST model

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armahdavi/ML-xgboost-regressor---rapid-filter-forensics_rff-dust-recovery-from-HVAC-filter

ML modelling of dust recovery from HVAC filters: Linear Regression vs. XGBoost - Project Milestone: 2017-2020.

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ahmedshahriar/Housing-Price-Prediction

Data science project on Housing Prices Dataset regression analysis

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Mechres/Price-Predict

Crypto & Stock* price prediction with regression models.

Language: Python - Size: 768 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 1

MassimilianoVisintainer/House-Price-Model-Prediction

House price prediction model using XGBoost.

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S84v/oil-and-gas-prediction

This project provides a thorough analysis of the crude oil production data from the Volve field, offering valuable insights into production trends and future forecasts.

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thiagokato80/Python_Cases

Python Cases

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Simran2911/Flight-Price-Pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

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shreyaswankhede/Airbnb_Rental_Price_Prediction

The objective of this project is to model the prices of Airbnb appartments in London.The aim is to build a model to estimate what should be the correct price of their rental given different features and their property.

Language: Python - Size: 5.2 MB - Last synced at: 4 days ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3

Mudita-M2/House_price_prediction

House price prediction using Linear regression , XGBRegressor and Tensorflow

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PritamDeb68/T20-Cricket-Score-Predictor

In this project I have created an men's t20 internationals cricket score predictor considering various factors like batting team, bowling team, current score etc. and got an 99% r2 score on training and 98% r2 score on testing.

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ROHIT-J0SHI/T20wc-Score-Predictor

This predictive web application forecasts T20 cricket scores using Flask and machine learning, considering factors like batting team, bowling team, and match conditions.

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manjit-baishya-datascience/NYC-Taxir-Fair-Prediction

This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.

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VIKRAM2563/HousePricePrediction-MachineLearning

Predict house prices using XGBoost regression. This project preprocesses data, trains the model, and evaluates predictions to forecast house prices based on various features.

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shubham5027/Store-Item-Demand-Crypto-Price-Prediction-using-Multiple-Time-Series-Forecasting

l train and evaluate multiple time-series forecasting models using the Store Item Demand Forecasting Challenge dataset from Kaggle. This dataset has 10 different stores and each store has 50 items, i.e. total of 500 daily level time series data for five years (2013–2017).

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sanhiitaa/salary-prediction

End-to-End Machine Learning project I made as a machine learning intern @ Mentorness

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samidulloabdullaev/Flights_Arrival_Delay_regression-

This project aims to predict flight arrival delays using various machine learning algorithms. It involves EDA, feature engineering, and model tuning with XGBoost, LightGBM, CatBoost, SVM, Lasso, Ridge, Decision Tree, and Random Forest Regressors. The goal is to identify the best model for accurate predictions.

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Cheung-Chak-Hang-Billy/Evaluate-Student-Summary

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yyigitturan/Baseball-Players-Salary-Prediction

This project develops a machine learning model to predict the salaries of baseball players based on their past performance.

Language: Python - Size: 803 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

XavierQuerol/Cajarmar-Datathon-2023

Regressor models to predict wine production for next year

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HakimGhlissi/House-Price-Prediction-Using-a-XGBoost-classifier

Built a Linear Regression and XGBoost model to predict house prices from the Boston house price dataset

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RohithAthalury/Forecasting-and-Analysis-of-Cyber-Crimes

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

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Spandan2308/Critical-Temperature-Prediction

The critical temperature of a superconductor is predicted using XGBoost algorithm.

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Niru8449/SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

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Harshraj1301/Meijer---Real-Estate-Predictive-Model

Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions

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giannis9696/Medical-insurance

Machine learning model that predicts medical insurance cost.

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Efesasa0/GDZ-elektrik-timeseries

Almost and AutoML around xgb, catboost and lightgbm

Language: Python - Size: 22.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

nnamanx/f1_strategy_optimization

we aim to predict the finishing positions and very first pit stop lap in Formula 1 races based on a set of features derived from driver statistics, circuit characteristics, and race conditions

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AtharvaKulkarniIT/ParkinsonsTelemonitoringInsights

This R-based data science project on the UCI Parkinson's dataset employs machine learning (Decision tree, Random Forest, SVM, XGBoost) with a focus on hyperparameter tuning and feature selection. This repository showcases insights into Parkinson's disease prediction using effective data science practices.

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FeliciaSatriya/TB-Demand_Prediction

XGBoost implementation in predicting district annual heating demand from residential buildings

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RezaSaadatyar/Time-Series-Analysis-in-Python

This repository contains Python functions for predicting time series.

Language: Python - Size: 1.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 0

peijin0405/ML-XGBoostModel-for-Deal-and-User-Churn-Forecast

This project employs XGBoost regression and XGBoost classifier model to predict user order and user churn on online travel agency data. Reach 97% prediction accuracy.

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AnoopKunju/Comparing_ML_ClassificationAlgorithms

comparing Logistic regression, random forest, Decision Tree, XGBoost Algorithm for the use case to predict banks deposit refusal and acceptance depending on the historical data

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sohaibmohd18/Sales-Forecasting

Prediction of quarterly sales of a company using XGBoost Regression Model using python and multiple Data Science Libraries.

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himanshu-03/Flight-Price-Prediction-Flask

This repository contains the source code for a Flight Price Prediction System, It is a machine learning-based web application that enables users to predict the cost of a flight based on their desired travel details. The project has been integrated with both FastAPI and Flask frameworks.

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manujbsharma/Credit_Card-Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions using machine learning models.

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zsxkib/Most-Under-and-Over-Priced-Cars

Determine what influences and drives car prices given technical specs and identify which car(s) are the most under/overpriced and why.

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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

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LuluW8071/Laptop-Price-Prediction

A collection of machine learning models for predicting laptop prices

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Amik-Sen-Fun/Renewable-Energy-Generation-Forecasting

Data Science project No: 1

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-lambda-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a serverless function in AWS Lambda and optionally expose as an API with Amazon API Gateway

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gonzalo-cordova-pou/EnergyConsumptionForecast

This repo hosts a basic personal project that uses XGBoost to Forecast Energy Consumption.

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HayatiYrtgl/ARIMA_Linearregression_XGBOOST_Time_Series_Analysis

This Python script conducts various data processing, visualization, and modeling tasks on a dataset.

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Sarthak061/Soil-Moisture-Pred-NITH

a machine-learning model that can predict soil moisture levels based on time series data.

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aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-amazon-ecs-fargate-and-amazon-api-gateway

How to train a XGBoost regression model on Amazon SageMaker, host inference on a Docker container running on Amazon ECS on AWS Fargate and optionally expose as an API with Amazon API Gateway.

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yluoc/Airfare_Prediction

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lukablagoje/dynamic-XGBoost-model-data-stream-prediction

XGBoost model on a data stream to predict stock prices

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Jonathan-Tiede/RealEstate_Recommender

A real estate market analyzer used to identify recently listed homes that could be undervalued.

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subashksf/housing-price-prediction

Housing price prediction regression model

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therealowen/Boston-House-Price-Prediction

Boston House Price Prediction, final project of Big Data Machine Learning course at Johns Hopkins University

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benjaminfunk47/Microsoft-Stock-Predictive-Forecasting

This is a personal project of mine. I decided to do a process of data analysis & visualizations, feature engineering, model creation/testing, forecasting, model evaluation, and metrics visualizations.

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pracheeeeez/House_Price_Prediction

This repository implements House Price Prediction Model for California housing dataset using XGBoost regression algortihm

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gokulnpc/BigMart-Sales-Prediction

This web app is created to predict the sales of Big Mart based on the input features provided by the user. The model used in this web app is a XGBoost Regressor model which is trained on the Big Mart Sales dataset. The dataset used in this web app is taken from the Kaggle Datastes. The dataset contains 8523 rows and 12 columns.

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mlchrzan/Duolingo-User-Interaction-Modeling-Project

Size: 311 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

purrvaja/Regression-Analysis

Regression analysis to predict the house prices, along with exploratory data analysis answering research questions

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lfaferreira/predict-rossmann-store-sales

🏪 The project's idea is to use a machine learning model to predict the sales quantity that each store will have in the next six weeks, assisting managers in their future decision-making.

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Thangam-11/Used-car-price-prediction

The Used Car Price Prediction project aims to develop a robust data science solution for accurately predicting used car prices. Leveraging a diverse dataset encompassing essential features like car model, number of owners, age, mileage, fuel type, kilometers driven, additional features, and location, this project aspires to build a powerful machine

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Thangam-11/Rental-Property-price-

In the real estate industry, the determination of rental prices plays a critical role in shaping the interactions between property owners, tenants, and property management companies. The ever-changing nature of the real estate market necessitates a dynamic and data-driven approach to set competitive and fair rental prices.

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orestasdulinskas/temperature_forecasting

The project forecasts the hourly temperature at JFK airport. The dry-bulb temperature is a key indicator of air temperature that has implications for many domains, such as aviation and energy. The project involves data analysis, modeling, and validation to develop reliable forecasting model that can assist stakeholders in making informed decisions

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oliveiract/Drugstore-Sales-Forecast

This repository contains files and scripts to build a sales forecasting Telegram Bot for a pharmacy chain. The purpose of this project is to quickly and easily provide a revenue estimate in order to assist the CEO in decision making. (Project Data Science in Production / DS Community)

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RAVI-CHANDRIKA-05/PREDICTING_PROBABILITY_OF_PAYING_BLIGHT_TICKETS

This repository contains files on Predict probability whether a given blight ticket will be paid

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somjit101/NYC-Taxi-Demand-Prediction

This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.

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Cafarli/RegressionModels

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gitzaidi/Prediction-of-volatility-in-stock-movements-on-the-US-market

Answer to CFM challenge US-Stock-Market volatility prediction - Ranked 4th

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LHarieswar/Bike-Sharing-Demand-Prediction

Supervised ML Regression Project on Bike Demand Predicting

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Bramitha-gowda-M/T20-world-cup-prediction-system

T20 World Cup Prediction System -- This GitHub repository contains the code for a T20 World Cup prediction system implemented in Python. The project utilizes popular libraries such as pandas, NumPy, and XGBoost for data manipulation, cleaning, and building predictive models.

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VikramBansall/Allstate-Purchase-Prediction-Challenge

The task involved early prediction of purchased coverage options from a limited interaction history, aiming to shorten the quoting process and reduce customer attrition for the issuer.

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krunalss/data_it_enterprises

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Shardy2907/House-Price-Prediction

A Machine Learning Regression Model has been used to predict the prices for houses in Boston.

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alexdatadesign/lfp_soc_ml

LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data

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samagra44/Zomato_Delivery_Time_Prediction

The Zomato Delivery Time Prediction Application is a machine learning-driven Flask web application designed to predict the estimated delivery time for food orders placed on the Zomato platform.

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Meenu00615/House-Price-Prediction

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yuhexiong/avocado-prices-XGBRegressor-python

Language: Python - Size: 709 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

yuhexiong/house-prices-XGBRegressor-LightGBMRegressor-python

Language: Python - Size: 541 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ashishrana1501/Forest-Fire-Prediction

Algerian Forest Fire Prediction

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bernatfogarasi/dublin-rent

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MihoRosenberg/Bangladesh-Flood-Guard

Predict precipitation to mitigate flood damage in Bangladesh

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434huzaifa/DeepTestDroid

GUI testing automation and testing tools automation attempt

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AjNavneet/RealEstate_PredictiveAnalysis_Pune

Real-estate price predictive analysis using Regression, RF , XGBoost and MLP models coded in scikit-learn and TensorFlow.

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AjNavneet/InsurancePriceForecast_XGBoost_Regression

XGBoost Regressor to predict healthcare expenses based on features such as age, BMI, smoking, etc.

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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.

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PayThePizzo/HouseSalesPricePrediction

Prediction of Sales Prices of Houses

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nimishsoni/Energy-Consumption-Forecasting-using-XG-Boost

Contains code to analyze and forecast Energy Consumption for Kaggle dataset of PJM East Operator using XGBoost algorithm

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CSfromCS/VHS-Thesis

ALIVE Research on E-Jeep video detection using neural network as location tracking.

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letstryy/Sentiment-score-prediction

Try sentiment score prediction :p

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DHwass/XGBoost-on-Home-Data-KAGGLE

In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.

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mukul-bhele/airqualityindex

Predicting Air Quality Index (AQI) using meteorological parameters and various machine learning models. Regression analysis with Linear Regression, Lasso, Ridge, Random Forest, XGBoost, and Artificial Neural Network (ANN).

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alex-00-pixel/Calorie-Brunt-Pridiction

This project aims to predict the number of calories burned during physical activity using XGBoost Regression. XGBoost is a powerful machine learning algorithm known for its efficiency and effectiveness in regression tasks. The model is trained on a dataset containing features related to physical activity,

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TrilokiDA/Kaggle

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am-tropin/poland-apartment-prices

🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).

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elmezianech/Food-Delivery-Time-Prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

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