Projects in Awesome Lists tagged with mean-square-error
A curated list of projects in awesome lists tagged with mean-square-error .
https://github.com/wecarsoniv/beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
beta-divergence distance-measures distance-metric distance-metrics divergence divergences itakura-saito-divergence kl-divergence kullback-leibler-divergence loss loss-functions mean-square-error mean-squared-error nmf nmf-decomposition non-negative-matrix-factorization numpy objective-functions pytorch torch
Last synced: 27 Dec 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/juzershakir/linear_regression
A Mathematical Intuition behind Linear Regression Algorithm
algorithm bias-variance cost-function feature-scaling gradient-descent house-price-prediction hypothesis linear-algebra linear-equations linear-regression machine-learning matrices mean-normalization mean-square-error mse multivariate-regression partial-derivative regularized-linear-regression univariate-regressions vector
Last synced: 19 Mar 2026
https://github.com/amarlearning/linear-regression-iris-dataset
Applied Multivariable Linear Regression on Iris Dataset
beginner-project gradient-descent linear-regression machine-learning matplotlib mean-square-error multivariate-regression numpy
Last synced: 11 Apr 2025
https://github.com/unvercan/loss-function-comparison-pytorch
Comparison of common loss functions in PyTorch using MNIST dataset
cross-entropy-loss dataset deep-learning image-classification l1 l2 linear-classifier loss-functions machine-learning matplotlib mean-square-error mnist negative-log-likelihood neural-network numpy python pytorch
Last synced: 17 Mar 2025
https://github.com/mariam-badr-mb/student-score-prediction
This project predicts students' exam scores based on study-related and demographic factors using machine learning models.
data-analysis data-visualization explore linear-regression machine-learning mean-square-error student-project supervised-learning
Last synced: 16 Aug 2025
https://github.com/obirikan/l.r-with-gradient-descent
This project demonstrates how to use gradient descent to find the best-fitting line for a dataset using manual calculations. It visualizes how the algorithm learns to reduce error and draw the best line.
gradient-descent linear-regression mean-square-error
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/hrichharms/ffmpeg_filters_mse
Calculates and visualizes the temporal domain and frequency domain mean squared error of ffmpeg audio filters
audio-filters audio-processing ffmpeg mean-square-error psnr
Last synced: 17 May 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/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn
Last synced: 03 May 2026
https://github.com/geo-y20/coursera-managment-system
ML and Data Science-based recommendation system
course coursera data data-science data-visualization datacleaning machine-learning mean-square-error recommendation-system
Last synced: 25 Feb 2025
https://github.com/bernatmarcilla/image-vector-quantizer
Python images vector quantizer lossy compressor and decompressor.
image-compressor image-decompressor mean-square-error python quantizer vector-quantization
Last synced: 13 Sep 2025
https://github.com/mkgeiger/neural-network
Simple neural-network supporting most importent features like Convolutional-/Fully Connected network completely written in Ansi C
adagrad adam-optimizer categorical-cross-entropy convolutional-neural-network fully-connected-network glorot-uniform image-classification leaky-relu mean-square-error momentum-optimization-algorithm neural-network relu-layer rmsprop-optimizer sgd-optimizer sigmoid softmax-layer softsign tanh
Last synced: 28 Feb 2025
https://github.com/davityak03/ridge-and-lasso-regression
Implented ridge and lasso regression by understanding the use of parameters
grid-search-cv lasso-regression mean-square-error parameters python regression ridge-regression
Last synced: 07 May 2026
https://github.com/lkethridge/intro_to_machine_learning_project
Intro to Machine Learning Project from TripleTen
accuracy-metrics classification decision-tree-regression evaluation-metrics jupyter-notebook linear-regression logistic-regression machine-learning mean-square-error model-comparison-and-selection model-quality random-forest-regression regression scikit-learn splitting-data supervised-learning trained-models tuning-hyperparameters
Last synced: 20 May 2026
https://github.com/natanaelalmeida/matrix-factorization
Understand how Matrix Factorization and SGD are used in personalized recommendation systems.
collaborative-filtering machine-learning mean-square-error mse music-recommendation music-recommendation-system python recommendation-algorithms recommender-system rust sgd sgd-optimizer stochastic-gradient-descent
Last synced: 04 May 2026
https://github.com/umairali254/predicting_house_prices---linear-regression
Predicting House Prices via Linear Regression, Decision Tree Regressor, Random Forest Regressor, and Gradient Boost Regressor
artificial-intelligence decision-tree-regression gradient-boosting-regressor house-price-prediction linear-regression machine-learning mean-square-error python random-forest-regression
Last synced: 15 Sep 2025
https://github.com/niteshchawla/jamboree-linearregression
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor
Last synced: 19 Apr 2026
https://github.com/ahmad-ali-rafique/wine-quality-dataset
Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.
analytics data datacleaning decision-tree-regression exploratory-data-analysis gradient-boosting-regressor linear-regression machine-learning mean-square-error model
Last synced: 21 Aug 2025
https://github.com/wb-az/mlib-pyspark-soundlevel-prediction
Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level
correlation-analysis data-engineering-pipeline data-science grid-search mean-absolute-error mean-square-error metrics multivariate-regression nasa pyspark pyspark-mllib pyspark-sql python r-squared regressor rmse sound-processing
Last synced: 05 Mar 2025
https://github.com/fauzancodes/gradient-descent
Performing gradient descent for calculating slope and intercept of linear regression using sum square residual or mean square error loss function.
gradient-descent intercept linear-regression loss-functions mean-square-error mini-batch-gradient-descent slope stochastic-gradient-descent sum-square-residual
Last synced: 23 Mar 2025
https://github.com/bernatmarcilla/image-scalar-quantizer
Python images scalar quantizer lossy compressor and decompressor.
image-compressor image-decompressor mean-square-error python scalar-quantization
Last synced: 27 Feb 2025
https://github.com/benediktfesl/diffusers-mseopt
Integrating the diffusion model-based MSE-optimal denoising strategy into the diffusers pipeline.
denoising diffusers diffusion-model mean-square-error optimality
Last synced: 24 Mar 2025
https://github.com/benediktfesl/diffusion_mse
Implementation of the paper "On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models."
diffusion-models generative-model machine-learning mean-square-error
Last synced: 16 Mar 2025
https://github.com/kpetridis24/offline-estimation
Uncertain parameter estimation on Grey-Box Dynamic Systems
grey-box input-output-analysis least-squares mean-square-error modeling parameter-estimation simulation
Last synced: 29 May 2026
https://github.com/eric15342335/week1-linearly-sparse-code
[Kaggle Competition] Linear regression using Elastic Net with Mean Squared Error + Sparsity penalty term
custom-metrics elastic-net kaggle linear-regression mean-square-error optuna
Last synced: 30 May 2026
https://github.com/rasoulameri/river_discharge_regression
A hybrid machine learning framework for river discharge forecasting that combines ensemble regression models with the Arithmetic Optimization Algorithm (AOA) for hyperparameter tuning and next-day flow prediction.
correlation forecasting hybrid lag machine-learning mean-square-error optimization prediction regression regression-models river-discharge scatter-plot sklearn svm time-series time-series-analysis time-series-forecast time-series-forecasting time-series-prediction voting-regressor
Last synced: 29 Apr 2026
