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ritikdhame /Electricity_Demand_and_Price_forecasting

Star120

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 lstm gru lstm-attention cnn-lstm xgboost-regression

UpdatedJul 18, 2023
Jupyter Notebook

MYoussef885 /House_Price_Prediction

Star44

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.

python data-science machine-learning numpy pandas-dataframe sklearn xgboost-regression matplotlib-pyplot seaborn-plots google-colab-notebook

UpdatedOct 16, 2023
Jupyter Notebook

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

Star36

Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning

data-science machine-learning deep-learning time-series random-forest linear-regression keras regression pandas time-series-analysis k-nearest-neighbors time-series-forecasting xgboost-regression walmart-sales-forecasting xgboost-regression-model store-sales-forecasting walmart-sales

UpdatedJun 1, 2021
Jupyter Notebook

tstran155 /Optimization-of-building-energy-consumption

Star31

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.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo

UpdatedMar 15, 2023
Jupyter Notebook

alexdatadesign /lfp_soc_ml

Star28

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

machine-learning battery bms inverter battery-management-system xgboost-model lfp xgboost-regression esphome lifepo4 lifepo4-battery state-of-charge

UpdatedDec 20, 2023
Jupyter Notebook

esvs2202 /Concrete-Compressive-Strength-Prediction

Star22

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.

flask html5 anaconda numpy scikit-learn machine-learning-algorithms jupyter-notebook pandas data-visualization python3 seaborn statsmodels heroku-deployment gunicorn-web-server pycharm-ide xgboost-regression joblib matplotlib-pyplot randomizedsearchcv

UpdatedJun 25, 2023
Jupyter Notebook

ashishrana1501 /Forest-Fire-Prediction

Star18

Algerian Forest Fire Prediction

python flask data-science machine-learning deployment modeling linear-regression sklearn jupyter-notebook feature-selection logistic-regression feature-engineering hyperparameter-tuning random-forest-classifier random-forest-regression xgboost-regression xgboost-classifier randomizedsearchcv

UpdatedJul 3, 2024
Jupyter Notebook

Dalageo /ML-GasSensorDrift

Star14

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

python data-science machine-learning scikit-learn decision-tree-regression predictive-maintenance random-forest-regression xgboost-regression optuna gas-sensor-calibration gas-sensor-datasets

UpdatedDec 12, 2024
Jupyter Notebook

RezaSaadatyar /Time-Series-Analysis-in-Python

Star14

This repository contains Python functions for predicting time series.

linear-regression prediction lstm decision-trees arima-model random-forest-regression xgboost-regression autocorrelation-function autoregressive-model least-squares-regression autoregressive-exogenous-model

UpdatedMay 24, 2024
Python

Mechres /Price-Predict

Star14

Crypto & Stock* price prediction with regression models.

ai neural-network bitcoin lstm xgboost lstm-model lightgbm prophet lstm-neural-networks price-prediction xgboost-regression lgbm lightgbm-regressor catboostregressor

UpdatedJul 26, 2024
Python

holukas /diive

Star13

Time series processing library

time-series outlier-detection plotting post-processing analyses jupyter-notebooks fluxnet time-series-analysis gap-filling random-forest-regression xgboost-regression eddy-covariance data-correction co2-flux ecosystem-fluxes eddypro h2o-flux quality-screening n2o-flux ch4-flux

UpdatedNov 11, 2025
Python

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

Star11

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

machine-learning serverless etl energy-data xgboost-regression mlops ml-pipelines hopsworks

UpdatedApr 7, 2025
Python

aayush1036 /housing-rent-prediction

Star10

End to End Machine Learning Project along with deployment.

python nginx flask data-science machine-learning sql server random-forest numpy sklearn python3 data-analysis aws-ec2 certbot-ssl ensemble-machine-learning xgboost-regression aws-rds-mysql matplotlib-pyplot

UpdatedOct 5, 2022
Jupyter Notebook

manashpratim /Big-Mart-Sales-Prediction

Star8

Predicting the sales of a store

linear-regression data-visualization feature-engineering regression-models random-forest-regression xgboost-regression sales-prediction

UpdatedJul 11, 2019
Jupyter Notebook

shreyaswankhede /Airbnb_Rental_Price_Prediction

Star8

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.

python airbnb xgboost-regression airbnbrentalpriceprediction voteclassifier