mean-squared-error
There are 37 repositories under mean-squared-error topic.
jhoon-oh/kd_data
IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
wecarsoniv/beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
i-ssac/bayesian-regression-bitcoin
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
aarvindshaw/Boston_House_Pricing_Regression_Machine_Learning
All things around ... Regression
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.
Isa1asN/cern-electron-collision-data-m-prediction
CERN Electron collision data- Invariant mass prediction
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.
Jonas1312/mse-for-binary-classification
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
jong26/rainfall_prediction_ml
This project used various machine learning algorithms to predict rainfall.
mzusin/mz-ml
A collection of TypeScript-based machine learning helpers.
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)
yafo1948/ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
Yukti-09/Linear-Regression
A small code for understanding linear regression.
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.
atwyburde/50-startups-Analysis
Prediction model for profit of 50 startups dataset by Multiple Linear Regression
Careless-Caramel/Medical-Insurance
Linear Regression on Medical Insurance Dataset
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.
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.
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.
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
maheera421/Car-Price-Prediction-Model
A machine learning project that predicts car prices based on a dataset.
Samuel-the-crack/Boston-House-Price-Prediction
Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction
aaaastark/Intrusion-Detection-System-MQTT-Enabled-IoT
Intrusion Detection System for MQTT Enabled IoT.
aranzadata/Oil_Well_Predictor
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 .
ericyoc/encrypt_aes_keys_with_falcon_crypto_sig_poc
Implements a multi-level approach to image encryption and signing using post-quantum cryptographic techniques, with a focus on the FALCON (Fast-Fourier Lattice-based Compact Signatures over NTRU) algorithm for digital signatures.
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.
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
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
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.
jodiambra/Zyfra-Gold-Recovery-Predictions
Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
maheera421/California-Housing-Price-Prediction-Model
A regression model to predict housing prices based on various features.
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”
Nour-Sadek/Logistic-Regression-from-Scratch
This project provided practice with logistic regression and the cost functions MSE and log loss
ostad-ai/PyTorch-Tutorial
This repository provides topics in PyTorch which is used for Deep Learning
scantinibudden/Mexico-Housing
An analysis on how different parameters affect housing prices in Mexico