Projects in Awesome Lists tagged with mean-absolute-error

https://github.com/zzhanghub/eval-co-sod

PyTorch-Based Evaluation Tool for Co-Saliency Detection

auc average-precision co-saliency e-measure evaluation f-measure mae mean-absolute-error pr-curve python pytorch roc-curve s-measure salient-object-detection

Last synced: 21 Nov 2025

https://github.com/sushantdhumak/arima-for-industrial-production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

arima-model augmented auto-arima dickey-fuller-test differencing exploratory-data-analysis grid-search industrial-automation mean-absolute-error mean-absolute-percentage-error mean-square-error stationarity

Last synced: 26 Mar 2025

https://github.com/sushant1827/arima-for-industrial-production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

arima-model augmented auto-arima dickey-fuller-test differencing exploratory-data-analysis grid-search industrial-automation mean-absolute-error mean-absolute-percentage-error mean-square-error stationarity

Last synced: 13 Feb 2026

https://github.com/scifer99/building-machine-learning-models-with-python

Build Linear Regression and Mean Absolute Error Models with Python for Machine Learning

ai linear-regression machine-learning mean-absolute-error statistical-analysis statistical-learning

Last synced: 21 Aug 2025

https://github.com/aaaastark/intrusion-detection-system-mqtt-enabled-iot

Intrusion Detection System for MQTT Enabled IoT.

artifical-neural-network binary-classification classification-report data-processing data-visualization deep-learning feature-extraction intrusion-detection-system keras-tensorflow mean-absolute-error mean-squared-error mqtt mqtt-protocol mqtt-server multi-class-classification r2-score root-mean-square-error sklearn

Last synced: 19 May 2026

https://github.com/nikhilt1998/drivendata-dengai-predicting-disease-spread

DengAI: Disease spread prediction(DrivenData Challenge)

competition datapreprocessing drivendata machine-learning mean-absolute-error neural-network regression regression-models timeseries-analysis

Last synced: 20 Aug 2025

https://github.com/camilajaviera91/prediction-of-housing-prices-using-linear-regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

curses kaggle linear-regression matplotlib-pyplot mean-absolute-error mean-square-error numpy pandas pathlib python scikit-learn train-test-split

Last synced: 10 Apr 2026

https://github.com/camilajaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

apache-beam dataframes glob kmeans-clustering matplotlib-pyplot mean-absolute-error mean-square-error numpy os pandas pipelines scipy-stats seaborn silhouette-score sklearn sklearn-datasets standardscaler

Last synced: 28 Apr 2026

https://github.com/lorenzorottigni/ml-diabets

Machine Learning course of Piero Savastano 1: LinearRegression, mean_absolute_error, train_test_split

linear-regression machine-learning mean-absolute-error sklearn

Last synced: 22 Apr 2026

https://github.com/maheera421/car-price-prediction-model

A machine learning project that predicts car prices based on a dataset.

column-transformer cross-validation-score feature-encoding feature-engineering imputation mean-absolute-error mean-squared-error one-hot-encoding r2-score random-forest-regressor simple-imputer

Last synced: 14 Mar 2025

https://github.com/lefteris-souflas/modern-slavery-analysis

Jupyter notebook using machine learning techniques to explore the complex drivers of modern slavery. Models from a research paper are replicated and evaluated . Actions also include filling missing data, training regression models, and analyzing feature importance.

decision-tree feature-importance grid-search-cv imputation jupyter-notebook lasso-regression linear-regression matplotlib mean-absolute-error numpy pandas preprocessing principal-component-analysis python3 random-forest ridge-regression scikit-learn seaborn