nlawira/india-house-rent-prediction

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

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giannis9696/Medical-insurance

Machine learning model that predicts medical insurance cost.

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jash0803/House_Price_Prediction

This repository contains a machine learning project for predicting house prices using various regression models, including Linear Regression, Random Forest Regressor, and XGBoost Regressor. The project involves data pre-processing, feature engineering, model training, and evaluation.

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Efesasa0/GDZ-elektrik-timeseries

Almost and AutoML around xgb, catboost and lightgbm

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AtheerAlzhrani/ML

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

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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.

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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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shubham5027/Store-Item-Demand-Forcasting

The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.

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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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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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SerhatDerya/House-Prices---Advanced-Regression-Techniques

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

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GeorgeBatch/moleculenet

MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery

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

Data Science project No: 1

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Parasuram19/Website_traffic_analyzer_using_Streamlit_Python

Streamlit website to analyze Website Traffic

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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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siahyeelong/Predicting-HDB-Resale-Flat-Prices

This project was done as part of the Introduction to Data Science and AI module in NTU. In this project, my team explored on using 3 different models to predict the resale prices of a HDB flat given its features. As this was our first attempt at machine learning, the concepts used are pretty trivial

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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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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: 17 days ago - Pushed: 2 months 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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Orestas41/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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Anamicca23/Obesity-Risk-Level-Prediction--Project-using-ML

Advancing Healthcare with 91% Accurate Prediction of Obesity Risk Levels Using XGBoost ,LightGBMand CatBoostClassifier Model

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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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tstran155/Optimization-of-building-energy-consumption

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

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Meenu00615/House-Price-Prediction

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yuhexiong/avocado-prices-XGBRegressor-python

Language: Python - Size: 709 KB - Last synced: 6 days ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

yuhexiong/house-prices-XGBRegressor-LightGBMRegressor-python

Language: Python - Size: 541 KB - Last synced: 6 days ago - Pushed: 5 months 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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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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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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FarhanaTeli/Factors-Influencing-US-Home-Prices

Using publicly available data for the national factors that impact supply and demand of homes in US, build a data science model to study the effect of these variables on home prices.

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KwokHing/Regression-with-a-Crab-Age-Dataset

A light-weight Kaggle challenge to predict crabs' age

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Yogeshpvt/Sustainable-Energy-Consumption-Analysis

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sathwikkes/Movie-Recommender-System

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MafikengZ/Machine-Learning-Advanced-Regression

This project is focused on building an Advanced Linear Regression model measuring the load-shortfall-3h in Spain

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mendez-luisjose/Boston-House-Price-Prediction-with-Scikit-Learn-Streamlit-and-Deployed-with-Flask

Boston House Price Prediction with Scikit Learn, Streamlit and Deployed with Flask

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wellylin8916/Stock-Crash-Risk-on-XGBoost-Model

xgboost預測股價崩盤風險

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UjjwalDeepXCIX/End-to-End-Ml-Regression-Project

Math Score Predictor

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LuluW8071/Laptop-Price-Prediction

Laptop Price Prediction | A collection of machine learning models for predicting laptop prices

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sarah-zhan/house_price_prediction

House Prices - Advanced Regression Techniques - Predict sales prices and practice feature engineering, RFs, and gradient boosting

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Snigdho8869/Regression-Analysis-Projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

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avijay24/Bike-Rental-Demand-Forecasting-using-AWS-SageMaker

Conducted thorough statistical data analysis to identify key factors affecting bike rentals by implementing & deploying an XGBoost model, sourced from AWS Elastic Container Registry.

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Juosorioca420/DiplomadoCienciaDatos

Asignaciones propuestas para el Diplomado de Ciencia de Datos de la Universidad Nacional. Como Proyecto se propone el desarrollo de un modelo de predicción para activos volatiles y la construcción de Portafolios diversificados de Markowitz.

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coolmunzi/end_to_end_ml-fitbit_calorie_counter

This is an End to end Machine Learning project based on Flask APIs covering model training and prediction pipelines for finding calorie from fitbit band's data.

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MezbanS/Mercedes-Benz-Greener-Manufacturing

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

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Axik0/OIL

Multivariate oil production time series analysis with XGBoost and neural networks

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KalinNonchev/xgbexcel

Python package that converts an XGBRegressor model to an Excel formula expression.

Language: Python - Size: 28.3 KB - Last synced: 21 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

IssamLL/Wining-Solution-ENSIAS-AI-ML-Competition

This repository contains the winning solution for the Energy Consumption Prediction Kaggle competition, securing second place.

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shrutibalan4591/Store-Sale-Prediction

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

Language: Python - Size: 1.06 MB - Last synced: 8 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

NatenaelTBekele/retail_sales_forecast

Forecast weekly sales from a particular department

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aayush1036/housing-rent-prediction

End to End Machine Learning Project along with deployment.

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Mfundo-debug/Bank_Customer_churn

Bank Customer Churn Prediction

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Collinjia/NLP-CLRP-Contest

Kaggle NLP competition : Rate the complexity of text using BERT

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MYoussef885/House_Price_Prediction

The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matplotlib, Seaborn, and XGBoost, this project provides an end-to-end solution for accurate price estimation.

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ghanmi-hamza/Hyperparameter_Tuning_Using_Optuna

Xgboost Hyperparameter Tunning Using Optuna

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vineetpatel725/Supplement-Sales-Prediction

Forecast sales for 350+ supplement retail chain stores for next 2 months

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rmkjee1510/ML1_House_Price_Prediction

House Price Prediction

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Ola76/Dairy_Goods_Sales_Database

The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.

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bogumilo/house-prices-xgboost

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

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