mean-squared-error

There are 0 repository under mean-squared-error topic.

jhoon-oh / kd_data
IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
machine-learning pytorch kl-divergence mean-squared-error knowledge-distillation ijcai2021
Language:Jupyter Notebook 38
mdl-complexity
csinva / mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
complexity linear-models linear-regression machine-learning ai statistics linear-regression-models artificial-intelligence mdl minimum-description-length double-descent mean-squared-error bias-variance-tradeoff bias-variance-trade ridge-regression model-selection information-theory
Language:Jupyter Notebook 17
wecarsoniv / beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
pytorch beta-divergence loss-functions loss kullback-leibler-divergence kl-divergence mean-square-error mean-squared-error nmf nmf-decomposition non-negative-matrix-factorization itakura-saito-divergence objective-functions distance-measures distance-metric distance-metrics divergence divergences torch numpy
Language:Python 9
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
Language:Jupyter Notebook 2
pakheili / bayesian-regression-bitcoin
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
bayesian-regression bitcoin cryptocurrency linear-regression mean-squared-error price-prediction latent-source-model
Language:Python 2
aarvindshaw / Boston_House_Pricing_Regression_Machine_Learning
All things around ... Regression
regression linear-regression decision-tree-regression support-vector-regression random-forest-regression gradient-boosting-regression knn-regression xgboost-regression mean-squared-error r2-score regression-models
Language:Jupyter Notebook 1
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.
dimensionality-reduction eigenfaces eigenvectors facial-recognition mean-squared-error principal-component-analysis atnt-data
Language:Jupyter Notebook 1
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.
data-cleaning life expectancy data-visualization random-forest-regression cross-validation mean-squared-error r2score kaggle-dataset python life-expectancy factors countries immunization regression-model alcohol gdp multiple-linear-regression alcohol-intake bil
Language:Jupyter Notebook 1
Jonas1312 / mse-for-binary-classification
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
binary-crossentropy crossentropy deep-learning loss-functions machine-learning mean-squared-error mse neural-network
1
jong26 / rainfall_prediction_ml
This project used various machine learning algorithms to predict rainfall.
decision-trees f1-score jaccard-similarity knn linear-regression logistic-regression mean-absolute-error mean-squared-error r2-score svm
Language:Jupyter Notebook 1
mzusin / mz-ml
A collection of TypeScript-based machine learning helpers.
linear-regression ml machine-learning mean-squared-error multiple-linear-regression
Language:TypeScript 1
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
Language:Jupyter Notebook 1
yafo1948 / ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
decision-tree-classifier em-algorithm gradient-descent k-fold-cross-validation k-means knn lagrange-multipliers linear-regression logistic-regression mean-squared-error ml mle-estimation multivariate-regression naive-bayes-classifier pac-learning polynomial-regression svm unsupervised-machine-learning
Language:Jupyter Notebook 1
Yukti-09 / Linear-Regression
A small code for understanding linear regression.
linear-regression matplotlib numpy mean-squared-error
Language:Jupyter Notebook 1
AmishaMurarka / Facebook-Comment-Volume-Prediction
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking sites - Facebook.
decision-tree-regressor facebook-comments grid-search-cross-validation grid-search-hyperparameters hold-out-cross-validation linear-regression machine-learning python random-forest-regressor regression-models research-paper-implementation sklearn-library xgb-regressor mean-squared-error root-mean-squared-error-metric
Language:Jupyter Notebook 0
atwyburde / 50-startups-Analysis
Prediction model for profit of 50 startups dataset by Multiple Linear Regression
excel excel-files jupyter-notebook label-encoder linear-regression math mean-squared-error metplotlib numpy pandas python r2score seaborn sklearn train-test-split
Language:Jupyter Notebook 0
Medical-Insurance
Careless-Caramel / Medical-Insurance
Linear Regression on Medical Insurance Dataset
encoding label labelencoding linear-regression matplotlib-pyplot mean-absolute-percentage-error mean-squared-error regression-analysis seaborn sklearn
Language:Jupyter Notebook 0
fealt / diamonds-price-prediction
💎 'The Linear Regression Challenge: Diamonds Price Prediction' @ironhack Data Analytics Bootcamp
python pandas numpy matplotlib-pyplot seaborn sklearn statistics machine-learning linear-regression mean-squared-error rmse-score ironhack
Language:Jupyter Notebook 0
GunturWibawa / BetaBankChurnAnalysis
Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.
bank decisiontreeclassifier f1-score matplotlib-pyplot mean-absolute-error mean-squared-error numpy pandas python3 r2-score randomforrestclassifier roc-auc-score scipy-stats seaborn sklearn
Language:Jupyter Notebook 0
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.
mean-squared-error r2-score residual-analysis root-mean-square-error simple-linear-regression
Language:HTML 0
kul-arun / univariate-linear-regression
Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.
data-visualization gradiantdescent linear-regression mean-squared-error optimization-algorithms univariate-linear-regression
Language:Jupyter Notebook 0
m-imani / NeuralNetwork-Polynomial-LR
In this Notebook, MSE of three models (LinearRegression, Polynomial, and 3-layer Neural Network using Keras) has calculated and compared
linear-regression polynomial-regression neural-network keras mse mean-squared-error
Language:Jupyter Notebook 0
Samuel-the-crack / Boston-House-Price-Prediction
Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction
numpy pandas matplotlib seaborn lasso-regression machine-learning mean-absolute-error mean-absolute-percentage-error mean-squared-error regularized-regression ridge-regression
Language:Jupyter Notebook 0
aaaastark / Intrusion-Detection-System-MQTT-Enabled-IoT
Intrusion Detection System for MQTT Enabled IoT.
mqtt artifical-neural-network binary-classification classification-report data-processing deep-learning feature-extraction mean-absolute-error mean-squared-error mqtt-protocol multi-class-classification r2-score root-mean-square-error data-visualization keras-tensorflow sklearn intrusion-detection-system mqtt-server
GunturWibawa / SpotifyPopularityProbe
In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.
data-visualization decision-tree-regression grid-search-cv lasso-regression linear-regression matplotlib mean-absolute-error mean-squared-error numpy python3 r2-score random-forest-regression randomized-search-cross-validation ridge-regression seaborn sklearn spotify standardscaler
Language:Jupyter Notebook
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
linear-regression machine-learning pandas cross-validation mean-squared-error numpy r2 statistics
Language:HTML
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.
catboost cross-validation decision-tree iterative-imputer knnimputer label-encoder lightgbm linear-regression machine-learning mean-squared-error numpy ordinal-encoder pipeline plotly-express random-forest timeit xgboost
Language:HTML
jodiambra / Zyfra-Gold-Recovery-Predictions
Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
cross-validation-score decision-tree dummy-regressor linear-regression machine-learning mean-squared-error numpy pandas plotly-express random-forest stats
Language:Jupyter Notebook
mbugallo / aZINB11Fires
In this repository you will find the complete implementation of the model proposed in the paper entitled “Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain”
bootstrap mean-squared-error prediction wildfire-forecasting zero-inflated-negative-binomial-mixed-model
Language:R
Nour-Sadek / Logistic-Regression-from-Scratch
This project provided practice with logistic regression and the cost functions MSE and log loss
logistic-regression machine-learning scikit-learn log-loss mean-squared-error sigmoid-function
Language:Python
ostad-ai / PyTorch-Tutorial
This repository provides topics in PyTorch which is used for Deep Learning
deep-learning python pytorch datasets cifar10 dataloaders iris mnist one-hot-encoding torchvision-transforms conv2d mean-squared-error stochastic-gradient-descent lenet
Language:Jupyter Notebook
scantinibudden / Mexico-Housing
An analysis on how different parameters affect housing prices in Mexico
data-science mean-squared-error python
Language:Jupyter Notebook
thedatanerdz / MLP-21
Elastic net project
data-science elastic-net heatmap machine-learning mean-squared-error mlxtend
Language:Jupyter Notebook
thedatanerdz / MLP-24
Infidelity and Marital Satisfaction investigation using elastic net
data-science elastic-net machine-learning base-model comparison gridsearchcv mean-squared-error standard-scaler sklearn-preprocessing correlation-analysis
Language:Jupyter Notebook

mean-squared-error

jhoon-oh / kd_data

csinva / mdl-complexity

wecarsoniv / beta-divergence-metrics

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

pakheili / bayesian-regression-bitcoin

aarvindshaw / Boston_House_Pricing_Regression_Machine_Learning

akash18tripathi / Principal-Component-Analysis-from-Scratch

Ishan-Kotian / BIL_Project-Life_Expectancy_Prediction

Jonas1312 / mse-for-binary-classification

jong26 / rainfall_prediction_ml

mzusin / mz-ml

SameetAsadullah / Neural-Network-Implementation

yafo1948 / ML_Reichman_Spring2022

Yukti-09 / Linear-Regression

AmishaMurarka / Facebook-Comment-Volume-Prediction

atwyburde / 50-startups-Analysis

Careless-Caramel / Medical-Insurance

fealt / diamonds-price-prediction

GunturWibawa / BetaBankChurnAnalysis

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

kul-arun / univariate-linear-regression

m-imani / NeuralNetwork-Polynomial-LR

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

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

GunturWibawa / SpotifyPopularityProbe

jodiambra / Oily-Giant-Profit-Predictions

jodiambra / Rusty-Bargain-Car-Market-Value

jodiambra / Zyfra-Gold-Recovery-Predictions

mbugallo / aZINB11Fires

Nour-Sadek / Logistic-Regression-from-Scratch

ostad-ai / PyTorch-Tutorial

scantinibudden / Mexico-Housing

thedatanerdz / MLP-21

thedatanerdz / MLP-24