Topic: mean-squared-error Goto Github
Some thing interesting about mean-squared-error
Some thing interesting about mean-squared-error
mean-squared-error,Intrusion Detection System for MQTT Enabled IoT.
User: aaaastark
Home Page: https://github.com/aaaastark/Intrusion-Detection-System-MQTT-Enabled-IoT
mean-squared-error,All things around ... Regression
User: aarvindshaw
mean-squared-error,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.
User: akash18tripathi
mean-squared-error,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.
User: amishamurarka
mean-squared-error,Prediction model for profit of 50 startups dataset by Multiple Linear Regression
User: atwyburde
mean-squared-error,Linear Regression on Medical Insurance Dataset
User: careless-caramel
mean-squared-error,MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
User: csinva
Home Page: https://arxiv.org/abs/2006.10189
mean-squared-error,๐ 'The Linear Regression Challenge: Diamonds Price Prediction' @ironhack Data Analytics Bootcamp
User: fealt
mean-squared-error,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.
User: gunturwibawa
mean-squared-error,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.
User: gunturwibawa
mean-squared-error,CERN Electron collision data- Invariant mass prediction
User: isa1asn
mean-squared-error,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.
User: ishan-kotian
Home Page: https://www.kaggle.com/lykin22/life-expectancy-prediction-with-automated-eda
mean-squared-error,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.
User: jhay001
Home Page: https://www.kaggle.com/code/jibrilyahayajibril/eda-sales-prediction-using-slr
mean-squared-error,IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
User: jhoon-oh
mean-squared-error,Using machine learning to discover the best location for Oily Giant to open their next well, based on reserve volume and profit
User: jodiambra
Home Page: https://jodiambra.github.io/Oily-Giant-Profit-Predictions/
mean-squared-error,We build a model to predict the value of used cars, while also considering speed and quality of the prediction.
User: jodiambra
Home Page: https://jodiambra.github.io/Rusty-Bargain-Car-Market-Value/
mean-squared-error,Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.
User: jodiambra
Home Page: https://jodiambra.github.io/Zyfra-Gold-Recovery-Predictions/
mean-squared-error,What Happens if We Use a Mean Squared Error Loss for Binary Classification?
User: jonas1312
mean-squared-error,This project used various machine learning algorithms to predict rainfall.
User: jong26
mean-squared-error,Create a simple, univariate linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm.
User: kul-arun
mean-squared-error,In this Notebook, MSE of three models (LinearRegression, Polynomial, and 3-layer Neural Network using Keras) has calculated and compared
User: m-imani
mean-squared-error,In this repository you will find the complete implementation of the model proposed in the paper entitled โWildfire prediction using zero-inflated negative binomial mixed models: Application to Spainโ
User: mbugallo
Home Page: https://doi.org/10.1016/j.jenvman.2022.116788
mean-squared-error,A collection of TypeScript-based machine learning helpers.
User: mzusin
Home Page: https://ml.mzsoft.org/
mean-squared-error,This project provided practice with logistic regression and the cost functions MSE and log loss
User: nour-sadek
Home Page: https://hyperskill.org/projects/219
mean-squared-error,This repository provides topics in PyTorch which is used for Deep Learning
User: ostad-ai
mean-squared-error,Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
User: pakheili
mean-squared-error,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)
User: sameetasadullah
mean-squared-error,Comparing Ridge and LASSO model to find the best accuracy for Home Price Prediction
User: samuel-the-crack
mean-squared-error,An analysis on how different parameters affect housing prices in Mexico
User: scantinibudden
mean-squared-error,Elastic net project
User: thedatanerdz
mean-squared-error,Infidelity and Marital Satisfaction investigation using elastic net
User: thedatanerdz
mean-squared-error,PyTorch implementations of the beta divergence loss.
User: wecarsoniv
mean-squared-error,Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects
User: yafo1948
mean-squared-error,A small code for understanding linear regression.
User: yukti-09
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