xgboost-regression

There are 1 repository under xgboost-regression topic.

ritikdhame / Electricity_Demand_and_Price_forecasting
Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction
cnn cnn-lstm gru lstm lstm-attention xgboost-regression
Language:Jupyter Notebook 120
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.
data-science machine-learning numpy pandas-dataframe python seaborn-plots xgboost-regression matplotlib-pyplot sklearn google-colab-notebook
Language:Jupyter Notebook 41
abhinav-bhardwaj / Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
data-science deep-learning k-nearest-neighbors keras linear-regression machine-learning pandas random-forest regression store-sales-forecasting time-series time-series-analysis time-series-forecasting walmart-sales walmart-sales-forecasting xgboost-regression xgboost-regression-model
Language:Jupyter Notebook 36
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.
bayesian-optimization building-energy hvac machine-learning-algorithms sobol-indices xgboost-regression cross-validation latin-hypercube-sampling ipopt pyomo nonlinear-optimization gurobi-solver genetic-optimization-algorithm probabilistic-inference stochastic-optimization multivariate-regression multi-objective-optimization nsga-ii pymoo deterministic
Language:Jupyter Notebook 31
alexdatadesign / lfp_soc_ml
LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data
battery battery-management-system bms lfp lifepo4 lifepo4-battery esphome inverter machine-learning state-of-charge xgboost-model xgboost-regression
Language:Jupyter Notebook 28
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.
python3 anaconda jupyter-notebook pycharm-ide pandas numpy matplotlib-pyplot seaborn machine-learning-algorithms data-visualization statsmodels scikit-learn xgboost-regression randomizedsearchcv joblib flask gunicorn-web-server heroku-deployment html5
Language:Jupyter Notebook 21
ashishrana1501 / Forest-Fire-Prediction
Algerian Forest Fire Prediction
feature-engineering feature-selection flask hyperparameter-tuning linear-regression logistic-regression machine-learning modeling random-forest-classifier random-forest-regression randomizedsearchcv xgboost-classifier xgboost-regression data-science deployment jupyter-notebook python sklearn
Language:Jupyter Notebook 18
Dalageo / ML-GasSensorDrift
Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️
data-science decision-tree-regression gas-sensor-calibration gas-sensor-datasets machine-learning optuna predictive-maintenance python random-forest-regression scikit-learn xgboost-regression
Language:Jupyter Notebook 14
Mechres / Price-Predict
Crypto & Stock* price prediction with regression models.
bitcoin catboostregressor lstm lstm-model lstm-neural-networks prophet xgboost-regression ai lgbm lightgbm lightgbm-regressor neural-network price-prediction xgboost
Language:Python 14
holukas / diive
Time series processing library
co2-flux data-correction ecosystem-fluxes eddy-covariance fluxnet gap-filling jupyter-notebooks outlier-detection plotting time-series time-series-analysis h2o-flux quality-screening analyses eddypro post-processing ch4-flux n2o-flux random-forest-regression xgboost-regression
Language:Python 13
RezaSaadatyar / Time-Series-Analysis-in-Python
This repository contains Python functions for predicting time series.
autocorrelation-function lstm prediction linear-regression least-squares-regression autoregressive-model autoregressive-exogenous-model arima-model decision-trees random-forest-regression xgboost-regression
Language:Python 13
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.
etl hopsworks mlops serverless xgboost-regression machine-learning ml-pipelines energy-data
Language:Python 11
aayush1036 / housing-rent-prediction
End to End Machine Learning Project along with deployment.
aws-ec2 aws-rds-mysql certbot-ssl data-analysis data-science ensemble-machine-learning flask machine-learning matplotlib-pyplot nginx numpy python python3 random-forest server sklearn sql xgboost-regression
Language:Jupyter Notebook 10
Erdos1729 / food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
demand-forecasting food-demand-forecasting forecasting-model catboostregressor decisiontreeregressor lightgbm-regressor xgboost-regression jupyter-notebook machine-learning
Language:Jupyter Notebook 8
manashpratim / Big-Mart-Sales-Prediction
Predicting the sales of a store
data-visualization feature-engineering linear-regression random-forest-regression regression-models sales-prediction xgboost-regression
Language:Jupyter Notebook 8
Max-Q
MitchellTesla / Max-Q
Machine-Learning: eXtreme Gradient-Boosting Algorithm Stress Testing
neural-networks machine-learning-algorithms jupyter-notebooks python-3 arxiv-papers pytorch xgboost-algorithm xgboost-model xgboost-python xgboost-regression
Language:C++ 8
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.
airbnb airbnbrentalpriceprediction python voteclassifier xgboost-regression
Language:Python 8
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
data-visualization dataanalytics healthcare-application ipnyb lightgbm-models machine-learning pca-analysis python random-forest-classifier xgboost-regression
Language:Jupyter Notebook 7
artisan1218 / Recommendation-System
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
collaborative-filtering content-based-recommendation cosine-similarity feature-augmentation item-based-recommendation jaccard-similarity pearson-correlation similar-items spark surprise-python svd-matrix-factorisation tf-idf-score tfidf upsampling user-based-recommendation xgboost xgboost-regression
Language:Python 7
xiaorancs / chicken-sales-forecast
回归预测
linear linear-regression xgboost-regression
Language:Python 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.
aws machine-learning jupyter-notebook python3 amazon-sagemaker xgboost-regression amazon-sagemaker-model-monitor california-housing-price-prediction
Language:Jupyter Notebook 6
Chandrakant817 / Calories-Burned-Prediction
Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
calories-burned decision-tree-regression linear-regression random-forest-regression xgboost-regression
Language:Jupyter Notebook 6
darjacvetkovic / HSP-predictions
XGBoost and GNN training and models for prediction of Hansen solubility parameters
cheminformatics chemistry deepchem graph-neural-networks mordred rdkit xgboost-regression
Language:Jupyter Notebook 6
dgovor / Housing-Price-Prediction-Python
Machine Learning model for price prediction using an ensemble of four different regression methods.
machine-learning price-prediction python lgbmregressor linear-regression gradient-boosting-regressor xgboost-regression
Language:Python 6
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.
gradient-boosting linear-regression machine-learning pandas sckiit-learn streamlit xgboost-regression data-science data-science-project machine-learning-project
Language:Jupyter Notebook 6
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
aws machine-learning jupyter-notebook python3 amazon-sagemaker xgboost-regression california-housing-price-prediction aws-lambda amazon-api-gateway
Language:Jupyter Notebook 5
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.
machine-learning data-analysis data-visualization decision-tree-regression xgboost-regression
Language:Jupyter Notebook 5
scalable-ml-deep-learning / predicting-snow-conditions
Predicting Snow Conditions in Passo Tonale (Trento, Italy)
modal serverless hopsworks huggingface opendata snow xgboost-regression
Language:Python 5
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.
demand-forecasting linear-regression outlier-detection predictive-modeling preprocessing random-forest regression-models sales visualization xgboost-regression
Language:Jupyter Notebook 5
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.
data-preparation data-preprocessing data-science data-visualization elasticnet etl exploratory-data-analysis gradient-boosting-regressor linear-regression matplotlib model-evaluation-and-selection numpy pandas python random-forest-regression scikit-learn svr xgboost-regression descriptive-analysis predictive-analysis
Language:Jupyter Notebook 4
gitzaidi / Prediction-of-volatility-in-stock-movements-on-the-US-market
Answer to CFM challenge US-Stock-Market volatility prediction - Ranked 4th
data-science ensemble-learning finance machine-learning python scikit-learn xgboost-regression
Language:Jupyter Notebook 4
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.
datascience house-price-prediction machinelearning python streamlit xgboost xgboost-regression
Language:Python 4
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).
deep-learning english-language natural-language-processing natural-language-understanding nlp regression xgboost xgboost-regression
Language:Jupyter Notebook 4
sparsh0106 / Regression-Analysis-of-Ecommerce-Customers
Regression Analysis of Ecommerce Customers Dataset using Linear Regression and XGBRegressor
linear-regression machine-learning prediction-model python xgboost xgboost-regression
Language:Jupyter Notebook 4
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.
data-analysis data-visualization exploratory-data-analysis feature-engineering feature-importance feature-selection gridsearchcv hyperparameter-optimization hyperparameter-tuning iot random-search xgboost-regression
Language:Jupyter Notebook 4
tmalik1116 / F1_Qualifying_Predictor_ML
Estimate Formula 1 qualifying results using ML
f1 fastf1 formula1 machine-learning machine-learning-algorithms ml pandas racing xgboost xgboost-regression ai python ergast-api motorsport sports react reactjs
Language:Python 4

xgboost-regression

ritikdhame / Electricity_Demand_and_Price_forecasting

MYoussef885 / House_Price_Prediction

abhinav-bhardwaj / Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning

tstran155 / Optimization-of-building-energy-consumption

alexdatadesign / lfp_soc_ml

esvs2202 / Concrete-Compressive-Strength-Prediction

ashishrana1501 / Forest-Fire-Prediction

Dalageo / ML-GasSensorDrift

Mechres / Price-Predict

holukas / diive

RezaSaadatyar / Time-Series-Analysis-in-Python

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

aayush1036 / housing-rent-prediction

Erdos1729 / food-demand-forecasting

manashpratim / Big-Mart-Sales-Prediction

MitchellTesla / Max-Q

shreyaswankhede / Airbnb_Rental_Price_Prediction

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

artisan1218 / Recommendation-System

xiaorancs / chicken-sales-forecast

aws-samples / amazon-sagemaker-xgboost-regression-model-monitor-and-alerting

Chandrakant817 / Calories-Burned-Prediction

darjacvetkovic / HSP-predictions

dgovor / Housing-Price-Prediction-Python

Jesus-Vazquez-A / Insurence

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

coderjolly / player-market-value-prediction

scalable-ml-deep-learning / predicting-snow-conditions

shubham5027 / Store-Item-Demand-Forcasting

FarhanaTeli / Factors-Influencing-US-Home-Prices

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

izelcelikkaya / housepriceprediction

kaledhoshme123 / A-proposed-model-that-can-predict-the-assessment-of-both-Syntax-Cohesion-Vocabulary-Phraseology-

sparsh0106 / Regression-Analysis-of-Ecommerce-Customers

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

tmalik1116 / F1_Qualifying_Predictor_ML