Topic: "mean-squared-error"
jhoon-oh/kd_data
IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
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csinva/mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
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wecarsoniv/beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
Language: Python - Size: 360 KB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 0
helloissac/bayesian-regression-bitcoin
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
Language: Python - Size: 1.03 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
mzusin/mz-ml
A collection of TypeScript-based machine learning helpers.
Language: TypeScript - Size: 1.54 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
aaaastark/Intrusion-Detection-System-MQTT-Enabled-IoT
Intrusion Detection System for MQTT Enabled IoT.
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Isa1asN/cern-electron-collision-data-m-prediction
CERN Electron collision data- Invariant mass prediction
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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)
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Jonas1312/mse-for-binary-classification
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
Size: 288 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
faezehabibi66/Regression
Linear Regression
Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
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.
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Yukti-09/Linear-Regression
A small code for understanding linear regression.
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nurulashraf/linear-regression-spotify
Data Science - Spotify Linear Regression Analysis
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reza-chehreghani/EPS-Assignment-3-MSE-Regression-CLT
This repository focuses on Mean Squared Error (MSE), Regression Analysis, and Central Limit Theorem (CLT). It includes Python implementations for image reconstruction, regression modeling, and distribution analysis.
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nlacey111/Machine-Learning
Machine Learning projects from undergrad.
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maheera421/Car-Price-Prediction-Model
A machine learning project that predicts car prices based on a dataset.
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FS-CodeBase/DeepLearning_for_low_resolution_photon_limited_imaging
Implementation of architectures presented in "Deep Neural Networks for Low-resolution Photon-limited Imaging"
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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.
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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 .
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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
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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.
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Nero103/Multiple-Linear-Regression-of-Taxi-and-Limousine-Services
A Multiple Linear Regression project used to predict ride fares to optimize revenue growth.
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ostad-ai/PyTorch-Tutorial
This repository provides topics in PyTorch which is used for Deep Learning
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atwyburde/Multiple-Linear-Regression-50-startups
Prediction model for profit of 50 startups dataset.
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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.
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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.
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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.
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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
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jodiambra/Zyfra-Gold-Recovery-Predictions
Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
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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.
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Careless-Caramel/Medical-Insurance
Linear Regression on Medical Insurance Dataset
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yafo1948/ML_Reichman_Spring2022
Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
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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”
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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.
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theMoro/NeuralNetworkProjects
Neural Network from Scratch
Language: Python - Size: 18.9 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
fealt/diamonds-price-prediction
💎 'The Linear Regression Challenge: Diamonds Price Prediction' @ironhack Data Analytics Bootcamp
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scantinibudden/Mexico-Housing
An analysis on how different parameters affect housing prices in Mexico
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