Topic: "xgboost-regression"
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

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: about 2 years ago - Stars: 18 - Forks: 9

holukas/diive
Time series processing library
Language: Python - Size: 834 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 13 - Forks: 2

abhinav-bhardwaj/Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 6

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

Dalageo/ML-GasSensorDrift
Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 0

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

ashishrana1501/Forest-Fire-Prediction
Algerian Forest Fire Prediction
Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

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: 10 days ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 3

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

MitchellTesla/Max-Q Fork of arXiv-research/Quatm
Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing
Language: C++ - Size: 155 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

xiaorancs/chicken-sales-forecast
回归预测
Language: Python - Size: 284 KB - Last synced at: 16 days ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2

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: 30 days ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 1

aayush1036/housing-rent-prediction
End to End Machine Learning Project along with deployment.
Language: Jupyter Notebook - Size: 39 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 7

aws-samples/amazon-sagemaker-xgboost-regression-model-monitor-and-alerting
How to train, deploy and monitor a XGBoost regression model in Amazon SageMaker and alert using AWS Lambda and Amazon SNS. SageMaker's Model Monitor will be used to monitor data quality drift using the Data Quality Monitor and regression metrics like MAE, MSE, RMSE and R2 using the Model Quality Monitor.
Language: Jupyter Notebook - Size: 897 KB - Last synced at: 26 days ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 4

Erdos1729/food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 7 months ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 2

manashpratim/Big-Mart-Sales-Prediction
Predicting the sales of a store
Language: Jupyter Notebook - Size: 197 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 2

tmalik1116/F1_Qualifying_Predictor_ML
Estimate Formula 1 qualifying results using ML
Language: Python - Size: 162 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 4 - Forks: 1

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: 3 months ago - Pushed at: 6 months ago - Stars: 4 - 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

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: 9 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

gitzaidi/Prediction-of-volatility-in-stock-movements-on-the-US-market
Answer to CFM challenge US-Stock-Market volatility prediction - Ranked 4th
Language: Jupyter Notebook - Size: 146 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

izelcelikkaya/housepriceprediction
This repo is a part of K136. Kodluyoruz & Istanbul Metropolitan Municipality Data Science Bootcamp. The project aims to produce a machine learning model for home price estimation. The model was built on the Kaggle House Prices - Advanced Regression Techniques competition dataset.
Language: Python - Size: 9.84 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 10

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.
Language: Jupyter Notebook - Size: 955 KB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

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
Language: Jupyter Notebook - Size: 941 KB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

artisan1218/Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
Language: Python - Size: 63 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

nidragedd/udadsnd-p4-airbnb_inside
Udacity DataScience nanodegree 4th project: pick a dataset, explore it and write a blog post
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 21 days ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 1

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: 22 days ago - Pushed at: 22 days ago - Stars: 3 - Forks: 0

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: 14 days ago - Pushed at: 23 days 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

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: 28 days ago - Pushed at: 8 months ago - Stars: 3 - 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

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).
Language: Jupyter Notebook - Size: 6.2 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

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.
Language: R - Size: 1.24 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

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: 4 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

Jesus-Vazquez-A/Insurence
We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.
Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 3

dgovor/Housing-Price-Prediction-Python
Machine Learning model for price prediction using an ensemble of four different regression methods.
Language: Python - Size: 286 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

aws-samples/amazon-sagemaker-xgboost-regression-model-hosting-on-aws-app-runner
How to train a XGBoost regression model on Amazon SageMaker and host inference as an API on a Docker container running on AWS App Runner.
Language: Jupyter Notebook - Size: 937 KB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

Collinjia/NLP-CLRP-Contest
Kaggle NLP competition : Rate the complexity of text using BERT
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - 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: 14 days ago - Pushed at: 14 days ago - Stars: 2 - 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: 19 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 3

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

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: 18 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

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

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.
Language: Python - Size: 4.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

alexdatadesign/lfp_soc_ml
LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data
Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

LuluW8071/Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Harish-or-Peter/Appliance-Energy-Prediction
Predicted residential energy consumption using Linear Regression, Random Forest, and XGBoost models. Random Forest showed best performance, offering insights into energy usage patterns. Code and results on GitHub for reference and optimization.
Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

ved-et9/ipl_2023_score_predictor
🏏Predicting Ipl score on the model trained by Various ML algos 🔥,deployed the interface on hugging face for interacting with online users
Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

KalinNonchev/xgbexcel
Python package that converts an XGBRegressor model to an Excel formula expression.
Language: Python - Size: 28.3 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

fa1zali/house_price_prediction_using_xgboost_regressor
A Machine Learning project using XGBoost Regressor for predicting house prices.
Language: Jupyter Notebook - Size: 305 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

kaledhoshme123/A-proposed-model-that-can-predict-the-assessment-of-both-Syntax-Cohesion-Vocabulary-Phraseology-
The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue. It includes several steps through which a few errors were reached, all ranging between 0.25 for each criterion. The values of the weights that were reached can also be used to deal with the issue as a classification process (but it was not dealt with as well in this proposed methodology).
Language: Jupyter Notebook - Size: 158 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

ahmedshahriar/Housing-Price-Prediction
Data science project on Housing Prices Dataset regression analysis
Language: Jupyter Notebook - Size: 422 KB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Rnoozy/Guessing-Prices-Pizza
Guessing the prices of pizza, this Machine Learning model using Linear Regression, and this project inspired by YouTube channel indonesia_belajar
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

Katerinafomkina/House-Predicting-Advanced-Regression-Techniques
Predicting house price
Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 11 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Geetika-tech19/CaloriesBurntPrediction
About Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
Language: Jupyter Notebook - Size: 726 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - 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: 27 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

Nishant2018/Predict-Calorie-Expenditure---XGBoost
Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 28 days ago - Pushed at: about 2 months ago - Stars: 1 - 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: 4 months ago - Stars: 1 - 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

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

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

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

brendanbignell/CUDA_MonteCarloOptionPricer
CUDA Monte Carlo Barrier Option Pricing Demo & Jupyer lab ML models
Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 6.38 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 964 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 920 KB - Last synced at: 4 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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
Language: Jupyter Notebook - Size: 69.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 509 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bdiptesh/CodeLib
Development of new ML library
Language: Python - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

krunalss/data_it_enterprises
Language: Jupyter Notebook - Size: 2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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)
Language: Jupyter Notebook - Size: 26.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.
Language: Jupyter Notebook - Size: 220 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Sineme01/House-Rate-Predictor
House Rate Predictor
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Yogeshpvt/Sustainable-Energy-Consumption-Analysis
Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year 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

Axik0/OIL
Multivariate oil production time series analysis with XGBoost and neural networks
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - 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.
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Abhishekkohli/ML-Projects
HousingPriceRegression.py file contains project based on linear regression. The dataset comprises values of aspects related to residential places and price of a house. TitanicClassification.py file contains project based on binary classification. The dataset comprises of data related to passengers and binary value of whether they survived or not.
Language: Python - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

arka57/Ted-Talk-Views-Prediction
Building a predictive model to predict views of Ted Talks in YouTube from dataset of past events using Machine Learning models
Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

3rd-Son/bigmart_analysis
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

dfavenfre/Bike-Sharing-Demand-Prediction
Bike Rent Demand Prediction Model
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

AlaaMahmoud95/Concrete-Compressive-Strength
Regression Machine Learning Project
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hapl/predict-flight-delays
Midterm project Lighthouse Labs - Predicting flight delays project using machine learning algorithms in Python
Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

Sarthak061/Soil-Moisture-Pred-NITH
a machine-learning model that can predict soil moisture levels based on time series data.
Language: Jupyter Notebook - Size: 8.41 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 3

mendez-luisjose/Health-Insurance-Cost-Model
Linear Regression Health Insurance Cost Model with Different M.L. Algorithms
Language: Jupyter Notebook - Size: 391 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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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scalable-ml-deep-learning/predicting-snow-conditions
Predicting Snow Conditions in Passo Tonale (Trento, Italy)
Language: Python - Size: 1.84 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Suhas-2002/Bengaluru-House-Price-Predictor
A Web App used to Predict House Price in Bengaluru
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kalsam123/Boston-House-price-prediction-using-regression
A machine learning web app for Boston house price prediction.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

805karansaini/AQI_Pre_v2
AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/
Language: Python - Size: 141 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

MafikengZ/Machine-Learning-Advanced-Regression
This project is focused on building an Advanced Linear Regression model measuring the load-shortfall-3h in Spain
Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

rushandgg/XGBoost_Stock_Prediction
Predict stock price direction by using XGBoost
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sanchitmisra/Bike-sharing-demand-prediction
The objective of this research is to develop a prediction model using supervised regression machine learning that support the start-up for a stable supply of rental bikes.
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DeleLinus/Supermarket-Sales-Prediction
This is a reviewed notebook to the DSN AI+ OAU July 2020 challenge where I took the first position. The project demonstrate proper Exploratory Data Analysis, categorical data handling, Data visualization, feature selection and engineering, Model selection and hyperparameter tuning of various regression algorithms.
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SF-Noorullah/Machine-Learning-with-XGBoost-and-RandomForest
Building Machine Learning Models with hyperparameter tuning by training a dataset containing more than a million rows to accurately predict the taxi trip duration in New york city
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apoorvaKR12695/Bike-Sharing-Demand-Prediction-
ML Supervised- Developed a regression model using algorithms such as Random Forest and XGBoost to predict the hourly demand of bikes.Performed hyperparameter tuning techniques and achieved R2 score of 92% using XGBoost model and reduced the public waiting time significantly.
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kunal-bhadra/Smart-Invoice-Manager
FullStack Webapp to help people in B2B Finance create and manage their invoices with ML
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

alibagheri7/R_Portfolio
Portfolio of R projects
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