Demetreous/Spotify-Track-Recommender-System-and-Popularity-Regression

ML project leveraging Spotify audio data for track popularity prediction and music recommendation using XGBoost, KNN, and SHAP

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Harsh071202/InsuranceFraudDetection

Detecting fraudulent insurance claims using machine learning techniques like XGBoost and SMOTE on real-world data to enhance claim verification accuracy.

Language: Python - Size: 5.45 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

ChrisWeijers/MD-CBL-Group-12

Police Force Allocation Prediction Model for the Metropolitan Police

Language: Python - Size: 48.9 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Kumpatlapavankumar/Medical-Insurance-Cost-Estimation-Using-Machine-Learning

Using python,numpy,pandas,seaborn,matplotlib and machine learning techniques

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

AyushVishwakarma21/Real-Estate-Sales-Prediction-Project

This is an End-to-End Machine Learning Project on Real Estate Sales 2001-2022 Dataset from Kaggle

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sgspencer2618/xgboost-options-pricing

American options pricer implemented using gradient-boosted trees (XGBoost), which predicts last prices using historical market options data.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

JacobTDang/Project-Friren

cybernetic ml portfolio manager that trades on algorithms + regime and news sentiment

Language: Python - Size: 208 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ItsTSH/Customer-Churn-Prediction

Customer Churn Prediction System using XGBoost Regressor, built on Telecom Industry dataset

Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

Algi21/Supervised-Learning---Regression

Project supervised learning dengan Model Regression untuk memprediksi jumlah views youtube berdasarkan dataset

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 28 - Forks: 6

hongyingyue/Vehicle-sales-predictor

Forecasting Vehicle Sales Using XGBoost – A Practical Guide to MLops Best Practices

Language: Python - Size: 235 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 1

miltiadiss/CEID_NE577-5G-Architectures-Technologies-Applications-and-Key-Performance-Indexes

This project involves predicting the downlink bitrate of mobile devices in 5G networks using machine learning (XGBoost Regressor) and deep learning (LSTM model). It includes data preprocessing, training and evaluation of the models, applying explainable AI (XAI) techniques such as SHAP, and optimizing feature selection based on XAI insights.

Language: Jupyter Notebook - Size: 64.9 MB - Last synced at: 6 days ago - Pushed at: 15 days ago - Stars: 3 - Forks: 0

tmalik1116/F1_Qualifying_Predictor_ML

Estimate Formula 1 qualifying results using ML

Language: Python - Size: 162 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 4 - Forks: 1

holukas/diive

Time series processing library

Language: Python - Size: 834 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 13 - Forks: 2

tricarico672/BDTProject

A real-time public transportation monitoring system for Trento that leverages big data technologies to track and predict bus congestion. This app helps transit authorities optimize vehicle distribution through an interactive streamlit dashboard.

Language: Jupyter Notebook - Size: 120 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

hasanulmukit/EcoSphereAI Fork of mmfarabi/EcoSphereAI

EcoSphereAI is a sustainable, AI-driven platform optimizing connectivity systems with features like energy optimization, predictive maintenance, and sustainability reporting. Build the future of efficient and green networks!

Language: Python - Size: 35.5 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 0

Vaishnavi-vi/Household_Energy_Usage_Forecast_--

The Household Power Consumption Dataset contains measurements of electric power usage in a single household in France, collected over a period of 4 years at one-minute intervals.

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 19 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

Anamicca23/Muli-Class-Obesity-Risk-Level-Prediction-Project-using-ML

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

Language: Jupyter Notebook - Size: 86.8 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 6 - Forks: 1

kocharvishal/Spectral-Analysis-and-Mycotoxin-Prediction-in-Corn-Samples

Hyperspectral Corn Data Analysis & Mycotoxin Prediction

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

davutbayik/food-delivery-time-prediction

Food Delivery Time Prediction using Machine Learning Techniques

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: 11 days ago - Pushed at: 29 days ago - Stars: 2 - Forks: 3

ashukesharwani/Predict_Chemical_Sales_Revenue

This repository contains an end-to-end data science project focused on forecasting chemical product sales for a leather chemical company. The goal is to uncover business insights and build a predictive model to help improve demand planning, inventory control, and overall operational efficiency.

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Romtaug/API-DataChallenge

Prédiction de la fréquence, la charge et le coût des sinistres de contrats d'assurances agricoles - Crédit Agricole Assurances

Language: Jupyter Notebook - Size: 3.68 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

DanGeospatial/SubarcticWildfireSeverity

Code Supplement: Driver Analysis of Subarctic Wildfire Severity over a 35-year Period

Language: Python - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Prachi319/House-price-prediction-XGBoost

Machine learning project (XG Boost regressor)

Language: Jupyter Notebook - Size: 109 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

KrupalWarale/Home-Energy-Consumption-Analysis-ML

This web application for predicting household energy consumption using multiple machine learning models with best accuracy and interactive visualizations and real-time comparison capabilities.

Language: Python - Size: 3.78 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Nishant2018/Predict-Calorie-Expenditure---XGBoost

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

INDDRSINGH/Flight_fare_prediction

Flight fare prediction model

Language: Jupyter Notebook - Size: 907 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 5.44 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

ahmadrazacdx/HouseOracle

HouseOracle is a modern, intelligent real estate web application that harnesses the power of machine learning to deliver real-time property price predictions and market insights across Pakistan. Provides actionable intelligence to help you make confident, data-driven decisions.

Language: HTML - Size: 4.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Yahlawat/Spotify-Popularity-Prediction

ML project predicting Spotify song popularity using audio features, metadata, and gradient boosting models (XGBoost, LightGBM, CatBoost).

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

davutbayik/bus-usage-forecasting

Time Series Forecasting - Bus Usage Prediction

Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Wb-az/ML-airbnb-paris-analytics-and-price-prediction

Airbnb Paris - analytics and accommodation price prediction

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

pereira-joao-paulo/frp-aging-xgboost

XGBoost-based prediction of residual properties of aged FRP composites

Language: Jupyter Notebook - Size: 66.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

prayas7102/Kaggle-Competition-Solutions

This repository features my Kaggle projects, highlighting advanced techniques in data preprocessing, feature engineering, model selection, and optimization across various competitions.

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steviecurran/house-prices

House Price Predictions

Language: Jupyter Notebook - Size: 255 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NandaKishoreReddyGajjala/House_Price-Prediction

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JashT14/Cryptocurrency-Price-Prediction

Predict cryptocurrency prices using an XGBoost Regressor model trained on historical data. The model is served via a Flask API and integrated with a Vite + React frontend for real-time predictions and interactive visualization.

Language: HTML - Size: 4.24 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ArunabhaPani/House_price_prediction_kaggle_learning

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ArunabhaPani/kaggle_house_price_prediction_advanced_regression_ml_model

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Dalageo/ML-GasSensorDrift

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 0

sorna-fast/Machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jesuserro/ml-retail-sales-predictor

This project presents a complete workflow for training, evaluating, and reporting a machine learning model that predicts store sales.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

banzuzi-carioni/cross-border-electricity-flow-prediction

Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.

Language: Python - Size: 44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 0

subhas-pramanik-09/House-Price

This is a House Price Prediction System using XGBRegressor Model

Language: Jupyter Notebook - Size: 138 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

abu14/house-price-prediction

An end to end ML project, predicting on house price prediction using gradient boosting algorithm.

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

cchan083/F1-Lap-Times

Predicting Laptimes using XGBoost, but mainly for practicing cleaning and data collection

Language: Jupyter Notebook - Size: 47.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Blacksujit/Data-thon-2025

Builded an Scalable ML Model for the E-commerce category and to determine the item accuracy for the local area stores

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Snigdho8869/Regression-Analysis-Projects

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

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

uddithmachiraju/Parallel-Hyperparameter-Tuning-for-XGBoost-Using-Jenkins

This repository automates parallel hyperparameter tuning for XGBoost using Jenkins pipelines. It trains multiple models simultaneously, selects the best-performing model, and deploys it via a Flask API inside a Docker container.

Language: Python - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

dcrey7/fifa19-web-app

Fifa19 Web app

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

esvs2202/Concrete-Compressive-Strength-Prediction

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 9

tekewin/used_cars_price_regressor

Used cars dataset (Kaggle) multiple regression model to predict price

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Avicenne-ctrl/github-action-workflow-test

This repository demonstrates the use of GitHub Actions to automate the model update workflow. If a model's accuracy improves during the latest `git push`, the workflow automatically updates and saves the new model.

Language: Jupyter Notebook - Size: 106 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hperer02/Automated-essay-scoring

This repository contains my solution for the Kaggle competition Automated Essay Scoring 2.0. The goal of this project is to develop an automated system capable of scoring essays based on their content and quality using machine learning techniques.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

rosamundlim/taxi_demand

Used `polars` library to wrangle ~34.5 million New York taxi trip records to predict hourly taxi demand

Language: HTML - Size: 76.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

juanfuooo/Subtropical-Front-Modeling-Code

This repository tries to set up several models to increase the temporal resolution of the Subtropical Front.

Language: Jupyter Notebook - Size: 703 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Godm0de0n/Boston-House-Price-Prediction

ML Model using XGBoost Regression to Predict House Price

Language: Jupyter Notebook - Size: 150 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shabari48/mobile_project

An ML-powered system that predicts mobile phone prices and provides personalized recommendations based on user preferences.

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

datalopes1/flight_prices

Projeto de Regressão Linear utilizando o XGBRegressor, com base no dataset Flight Price Prediction de Shubham Bathwal e disponibilizado no Kaggle

Language: Jupyter Notebook - Size: 41.5 MB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

GaneshAhire30/Big_Mart_Sales_Prediction-Project

Big Mart Sales Prediction is a machine learning project that predicts product sales across multiple stores using features like item price, weight, and store type. The model uses regression techniques to help optimize inventory and sales strategies.

Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

coderjolly/player-market-value-prediction

There is an intense transfer speculation that surrounds all major player transfers today. An important part of negotiations is predicting the fair market price for a player. Therefore, we are predicting this Market Value of a player using the data provided in csv format.

Language: Jupyter Notebook - Size: 8 MB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

tnleite/real-estate-opportunities-analysis

Este repositório apresenta uma análise de oportunidades no mercado imobiliário, combinando séries temporais, clusterização e previsões para identificar estados com maior potencial de crescimento e orientar estratégias de expansão eficientes.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

BatthulaVinay/Divorce-Status-Prediction-EDA-and-ML

This project focuses on analyzing data related to divorce status to uncover insights, trends, and predictive models. The analysis is conducted using Python in a Jupyter Notebook environment.

Language: Jupyter Notebook - Size: 689 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Parasuram19/Website_traffic_analyzer_using_Streamlit_Python

Streamlit website to analyze Website Traffic

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

debasishray16/StockPredictor

This project basically aims to provide a visual representation and comparative analysis of close price data related to different company ticker. It involves an interactive dashboard for users to display analysis and prediction of stocks data by using LSTM + XG-Boost model

Language: JavaScript - Size: 78.4 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 2

mcarocortes/Ensemble_Models

Comparación de modelos de Bagging y Boosting para predecir Item_Outlet_Sales, evaluando su rendimiento con MSE.

Language: Jupyter Notebook - Size: 118 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Onome-Joseph/Flight-Machine-Learning-model

This project implements a Flight Price and Duration Prediction Machine Learning Model. Built to predict both flight price and duration due to their interrelated nature.

Language: Jupyter Notebook - Size: 143 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Onome-Joseph/ML-Sales-Prediction

This repository contains a Sales Prediction Machine Learning Model built to predict sales from a set of features with very high accuracy

Language: Jupyter Notebook - Size: 904 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

arpanpramanik2003/calories-burnt-prediction

This project is a web-based application that predicts the calories burnt based on user inputs using a machine learning model. Built with Python, Flask, and scikit-learn, the app provides a simple and interactive interface for users to input their details and get instant predictions.

Language: Jupyter Notebook - Size: 732 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sushant1827/Traffic-Forecasting-using-IoT-Sensor-Data

Demonstrates how to utilize XGBoost for traffic forecasting using data gathered from IoT sensors, highlighting its efficiency in processing complex datasets and delivering accurate predictions.

Language: Jupyter Notebook - Size: 908 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

kylebuhay/Educational-Access-in-the-Philippines-Analysis

An analysis on enrollment trends in the Philippines from 2010 to 2021, highlighting differences across regions, sectors, and genders, employing K-Means clustering and XGBoost to uncover patterns and recommend interventions for equitable education access.

Language: Jupyter Notebook - Size: 3.64 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

otuemre/HousePricingML

A machine learning project predicting house prices using regression models. Covers data preprocessing, feature engineering, and model comparison to achieve accurate results. Developed for a Kaggle competition, focusing on effective ML workflows and model interpretability.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 18 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

prajakta1321/StreetML-A-Cityscape-Traffic-Volume-Prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

Language: Jupyter Notebook - Size: 2.87 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

pruthakjani5/Diamond-Price-Prediction-Project

This repository contains a comprehensive Machine Learning project focused on predicting diamond prices using advanced regression models. By leveraging a dataset of cubic zirconia characteristics, the project aims to automate and standardize the diamond valuation process, enhancing accuracy, scalability, and efficiency in the diamond industry.

Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

bilalhameed248/XG-Boost-TS-Prediction

Predict/Forecast monthly and daily charges, as well as payments associated with claims generated during the billing process

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

EitanBakirov/bicycle-rental-demand-prediction

A machine learning project aimed at predicting daily bicycle rental demand using features like weather, time, and seasonal trends.

Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

WalidAlsafadi/House-Prices

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

sparsh0106/Regression-Analysis-of-Ecommerce-Customers

Regression Analysis of Ecommerce Customers Dataset using Linear Regression and XGBRegressor

Language: Jupyter Notebook - Size: 667 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

ravindusenavirathna/Customer-Retention-Duration-and-CLV-Prediction-Model

predicts Customer Retention Duration and Customer Lifetime Value (CLV) using machine learning. It leverages the Kaggle "Customer Segmentation" dataset, with XGBoost models optimized for accurate predictions, helping businesses enhance customer engagement and maximize revenue.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

blakeziegler/Used-Car-Regression

Used Car Regression Kaggle Competition

Language: Python - Size: 191 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

pranava007/AI_ML_XG-Boosting_Regression_Insurence-Charge

XG Boosting Regression

Language: Jupyter Notebook - Size: 152 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AnnaAnastasy/Regression-Project-Flood-Prediction

This project uses machine learning regression models to predict flood risks based on environmental and historical data, employing techniques such as linear regression, polynomial regression, SGDRegressor, and XGBoost for accurate flood prediction.

Language: Jupyter Notebook - Size: 518 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

chetanp2002/Food-Delivery-Prediction

"Optimizing Food Delivery with Machine Learning" This project uses machine learning to predict food delivery times by analyzing factors like distance, weather, and traffic. It helps improve delivery efficiency and customer satisfaction, making the food delivery process smarter and faster.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shaadclt/Home-Price-Prediction-Economic-Indicators

This project aims to predict home prices using various economic indicators from the Federal Reserve Economic Data (FRED). The project involves data collection, data preparation, model building, and analysis of the results.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 20 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

Vibhore-sagar/Calories_Burnt_prediction_using_machine_learning

Calories burned prediction using machine learning

Language: Jupyter Notebook - Size: 479 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sayande01/Predicting-Future-Energy-Consumption-using-XGBoost

"Using XGBoost to predict future energy consumption (in MW) based on historical data. This project includes extensive feature engineering and identifies key factors driving consumption patterns through feature importance analysis, enabling precise, data-driven forecasting."

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Jesly-Joji/Laptop-Price-Prediction

Laptop Price Prediction

Language: Jupyter Notebook - Size: 538 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

BetulKarakaya/Salary-Predictor-Employees-Dataset

This project predicts employee salaries based on factors like gender, department, experience, and location, providing insights and accurate salary predictions through statistical and machine learning methods.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

asenacak/UsedCarsML

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

GeorgeBatch/moleculenet

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

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 2

brendanbignell/CUDA_MonteCarloOptionPricer

CUDA Monte Carlo Barrier Option Pricing Demo & Jupyer lab ML models

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justfifi17/NYC-Real-Estate-Sales-Prediction

Analyzes real estate sales data in NYC by performing exploratory data analysis and building models to predict sale prices based on various features.

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alfiyyahajeng/final

Model Prediksi Jumlah Penduduk Terpapar dan Luasan Terdampak Bencana Abrasi Menggunakan XGBoost dan Grid Search CV

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Gourav052003/Real-Estate-Price-Prediction-Model-Using-Advanced-Regression-Techniques

With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this challenges you to predict the final price of each home.

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SrivathsanP23/Used-Car-Price-Prediction

Used-Car_price prediction using XGBoost Regressor

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Erdos1729/food-demand-forecasting

This repository will work around solving the problem of food demand forecasting using machine learning.

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combax/From-Data-to-Justice

Tree based models to predict Offender Sex and Age in unsolved homicide cases.

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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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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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