Projects in Awesome Lists tagged with mean-squared-error
A curated list of projects in awesome lists tagged with mean-squared-error .
https://github.com/csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
ai artificial-intelligence bias-variance-trade bias-variance-tradeoff complexity double-descent information-theory linear-models linear-regression linear-regression-models machine-learning mdl mean-squared-error minimum-description-length model-selection ridge-regression statistics
Last synced: 12 Sep 2025
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/sameetasadullah/neural-network-implementation
Neural Network implemented with different Activation Functions i.e, sigmoid, relu, leaky-relu, softmax and different Optimizers i.e, Gradient Descent, AdaGrad, RMSProp, Adam. You can choose different loss functions as well i.e, cross-entropy loss, hinge-loss, mean squared error (MSE)
activation-functions adagrad adam-optimizer cross-entropy-loss gradient-descent hinge-loss jupyter-notebook leaky-relu loss-functions mean-squared-error neural-network optimizers pycharm pycharm-ide python python3 relu-activation rmsprop sigmoid-activation softmax-activation
Last synced: 15 Jun 2025
https://github.com/yukti-09/linear-regression
A small code for understanding linear regression.
linear-regression matplotlib mean-squared-error numpy
Last synced: 13 Oct 2025
https://github.com/isa1asn/cern-electron-collision-data-m-prediction
CERN Electron collision data- Invariant mass prediction
adam-optimizer artificial-neural-networks gradio gradio-interface keras mean-squared-error ml particle-physics prediction regression sklearn tensorflow
Last synced: 14 Mar 2025
https://github.com/krishnaura45/mcts-variant-prediction
Forecasting MCTS Variant Outcomes Across Board Games
artificial-intelligence board-games catboost code-competition games kaggle-competition lgbm maastricht-university mcts-agents mean-squared-error monte-carlo monte-carlo-tree-search regression research xgboost
Last synced: 07 Aug 2025
https://github.com/mzusin/mz-ml
A collection of TypeScript-based machine learning helpers.
linear-regression machine-learning mean-squared-error ml multiple-linear-regression
Last synced: 24 Mar 2025
https://github.com/ostad-ai/pytorch-tutorial
This repository provides topics in PyTorch which is used for Deep Learning
cifar10 conv2d dataloaders datasets deep-learning iris lenet mean-squared-error mnist one-hot-encoding python pytorch stochastic-gradient-descent torchvision-transforms
Last synced: 17 Mar 2025
https://github.com/nero103/multiple-linear-regression-of-taxi-and-limousine-services
A Multiple Linear Regression project used to predict ride fares to optimize revenue growth.
assumptions-in-regression machine-learning machine-learning-algorithms mean-squared-error multiple-linear-regression prediction python3
Last synced: 18 Oct 2025
https://github.com/aranzadata/OilWellPredictor
Modelo de aprendizaje supervisado que predice el volumen de reservas de crudo a partir de parámetros indicadores de calidad. Posteriormente se utiliza el método de bootstrap para calcular la ganancia promedio total con un intervalo de confianza de 95% y la probabilidad del riesgo de pérdidas .
benefits bootstrap linear-regression mean-squared-error risk sklearn supervised-learning
Last synced: 24 Oct 2025
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/nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
data-analysis data-preprocessing data-visualization dataset-exploration feature-selection linear-regression machine-learning matplotlib mean-squared-error model-evaluation multiple-regression music-analytics numpy predictive-modeling python regression-analysis root-mean-squared-error scikit-learn seaborn spotify-data
Last synced: 06 Apr 2025
https://github.com/nlacey111/machine-learning
Machine Learning projects from undergrad.
accuracy confusion-matrix decision-tree-classifier decision-trees k-nearest-neighbours mean-squared-error multi-layer-perceptron natural-language-processing neural-network principal-component-analysis random-forest random-tree sentiment-analysis sklearn support-vector-classifier svc training-testing
Last synced: 26 Dec 2025
https://github.com/aranzadata/oilwellpredictor
Modelo de aprendizaje supervisado que predice el volumen de reservas de crudo a partir de parámetros indicadores de calidad. Posteriormente se utiliza el método de bootstrap para calcular la ganancia promedio total con un intervalo de confianza de 95% y la probabilidad del riesgo de pérdidas .
benefits bootstrap linear-regression mean-squared-error risk sklearn supervised-learning
Last synced: 07 Apr 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: 11 Oct 2025
https://github.com/harmanveer-2546/predicting-schizophrenia-disorder
The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase
boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization
Last synced: 24 Nov 2025
