#

mean-squared-error

Here are 40 public repositories matching this topic...

jhoon-oh / kd_data

IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"

machine-learning pytorch knowledge-distillation kl-divergence mean-squared-error ijcai2021

Updated Feb 1, 2023
Jupyter Notebook

mdl-complexity

csinva / mdl-complexity

MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".

machine-learning statistics ai information-theory linear-regression artificial-intelligence model-selection complexity mdl ridge-regression linear-regression-models linear-models minimum-description-length bias-variance-tradeoff bias-variance-trade double-descent mean-squared-error

Updated Jun 12, 2023
Jupyter Notebook

wecarsoniv / beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Updated Jan 31, 2022
Python

helloissac / bayesian-regression-bitcoin

Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin

bitcoin linear-regression cryptocurrency price-prediction bayesian-regression mean-squared-error latent-source-model

Updated Oct 27, 2022
Python

jong26 / rainfall_prediction_ml

This project used various machine learning algorithms to predict rainfall.

svm linear-regression logistic-regression decision-trees jaccard-similarity knn f1-score r2-score mean-absolute-error mean-squared-error

Updated Oct 25, 2022
Jupyter Notebook

Jonas1312 / mse-for-binary-classification

What Happens if We Use a Mean Squared Error Loss for Binary Classification?

machine-learning deep-learning neural-network mse loss-functions binary-crossentropy mean-squared-error crossentropy

Updated Jul 20, 2022

aarvindshaw / Boston_House_Pricing_Regression_Machine_Learning

All things around ... Regression

linear-regression regression regression-models knn-regression support-vector-regression decision-tree-regression random-forest-regression xgboost-regression r2-score mean-squared-error gradient-boosting-regression

Updated May 13, 2021
Jupyter Notebook

mzusin / mz-ml

A collection of TypeScript-based machine learning helpers.

machine-learning linear-regression ml multiple-linear-regression mean-squared-error

Updated Mar 22, 2024
TypeScript

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)

Updated Aug 15, 2022
Jupyter Notebook

akash18tripathi / Principal-Component-Analysis-from-Scratch

This repository contains a Jupyter Notebook that implements PCA (Principal Component Analysis) from scratch for facial recognition. It demonstrates the steps involved in PCA, including eigenface computation and accuracy comparisons for different components.

facial-recognition dimensionality-reduction eigenvectors principal-component-analysis eigenfaces mean-squared-error atnt-data

Updated May 24, 2023
Jupyter Notebook

Yukti-09 / Linear-Regression

A small code for understanding linear regression.

numpy linear-regression matplotlib mean-squared-error

Updated May 16, 2021
Jupyter Notebook

yafo1948 / ML_Reichman_Spring2022

Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects

svm linear-regression ml naive-bayes-classifier logistic-regression gradient-descent k-means polynomial-regression knn decision-tree-classifier em-algorithm multivariate-regression lagrange-multipliers unsupervised-machine-learning mle-estimation pac-learning k-fold-cross-validation mean-squared-error

Updated Nov 8, 2022
Jupyter Notebook

Isa1asN / cern-electron-collision-data-m-prediction

CERN Electron collision data- Invariant mass prediction

tensorflow sklearn keras ml regression prediction artificial-neural-networks particle-physics gradio adam-optimizer mean-squared-error gradio-interface

Updated Sep 14, 2023
Jupyter Notebook

Ishan-Kotian / BIL_Project-Life_Expectancy_Prediction

Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.

Updated May 16, 2021
Jupyter Notebook

Jhay001 / EDA-And-Sales-Prediction-using-SLR

The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.

simple-linear-regression r2-score root-mean-square-error residual-analysis mean-squared-error

Updated Apr 21, 2024
HTML

jodiambra / Oily-Giant-Profit-Predictions

Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit

machine-learning statistics numpy linear-regression cross-validation pandas r2 mean-squared-error

Updated May 14, 2023
HTML

FS-CodeBase / Deep-Learning-Architectures-for-CompressedNoisy-Image-Signal-Recovery

Implementation of architectures presented in "Deep Neural Networks for Low-resolution Photon-limited Imaging"

deep-neural-networks mnist-dataset convolutional-neural-networks stacked-denoising-autoencoders poisson-noise mean-squared-error deep-learning-methods compressed-sensing-applications downsampled-noisy-signals optimization-based-algorithms signal-reconstructions poisson-autoencoder-inverting-network

Updated Oct 8, 2024
Jupyter Notebook

Samuel-the-crack / Boston-House-Price-Prediction

Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction

machine-learning numpy pandas seaborn matplotlib ridge-regression lasso-regression regularized-regression mean-absolute-error mean-squared-error mean-absolute-percentage-error

Updated Jun 6, 2022
Jupyter Notebook

aaaastark / Intrusion-Detection-System-MQTT-Enabled-IoT

Intrusion Detection System for MQTT Enabled IoT.

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

Updated Nov 1, 2023

jodiambra / Rusty-Bargain-Car-Market-Value

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

machine-learning pipeline random-forest numpy linear-regression cross-validation xgboost lightgbm decision-tree timeit catboost ordinal-encoder plotly-express label-encoder mean-squared-error knnimputer iterative-imputer

Updated Apr 4, 2023
HTML

Improve this page

Add a description, image, and links to the mean-squared-error topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the mean-squared-error topic, visit your repo's landing page and select "manage topics."