mean-square-error

There are 2 repositories under mean-square-error topic.

david-thrower / cerebros-core-algorithm-alpha
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
accuracy automl deep-learning keras-tensorflow machine-learning mean-square-error neural-architecture-search tensorflow automl-algorithms automl-api automl-benchmark automl-experiments automl-pipeline automl-products hyperparameter-optimization keras neural-network python3 gpt llm
Language:Jupyter Notebook 27
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
mary-python / shuffle
Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages
differential-privacy discrete-fourier-transform mean-square-error randomized-response randomizer
Language:Python 7
aditya9211 / Super-Resolution-CNN
Super Resolution's the images by 3x using CNN
cnn resolution-cnn kaiming he upscaling images computer-vision convolutional-neural-networks convolutional-networks machine-learning interpolation cvpr sub-sampling resolution relu-layer recognizing-handwritten-digits tensorflow psnr mean-square-error tensorflow-models
Language:Python 6
rjnp2 / facial_landmark_detection_using-cnn
celeba-dataset cnn keras facial-keypoints-cnn pre-processing rescale-points mean-square-error tkinter
Language:Python 6
IsmaelMousa / playing-with-torch
Practice using PyTorch include data preprocessing, linear algebra, optimization, neural networks, CNNs, and more to cover ML and DL basics
data-manipulation data-preprocessing linear-algebra python pytorch tensors jupyter-notebook automatic-differentiation pandas cnn mean-square-error neural-networks numpy optimizer cross-entropy-loss torchvision
Language:Jupyter Notebook 5
chandnii7 / Camera-Calibration
Program for non-planar camera calibration, mean square error, RANSAC algorithm, and testing with & without noisy data using extracted 3D world and 2D image feature points.
camera-calibration feature-extraction mean-square-error ransac-algorithm noisy-data 3d-world 2d-image opencv computer-vision
Language:Jupyter Notebook 4
LynnFernandes23 / Housing-Price-Prediction-System
The House Price Prediction System is a comprehensive project aimed at predicting housing prices based on various attributes using advanced data analysis and machine learning techniques.
linear-regression matplotlib mean-square-error pandas sckit-learn seaborn
Language:Jupyter Notebook 4
prabhatk579 / credit-card-fraud-detection-using-logistic-regression
Classifying whether the credit card transaction is fraudulent or not using Logistic Regression
logistic-regression smote undersampling data-preprocessing machine-learning-algorithms f1-score precision statistical-analysis recall hyperparameter-tuning mean-square-error data-visualization
Language:Jupyter Notebook 4
dataditya / US-Airlines-Delay-Analysis-2023
The objective is to analyze flight delays in the United States. Data from airlines, airports, and runways will be collected and processed. Machine learning models will be built using logistic regression, decision trees, and XGB classifiers. Visualizations will be created in Tableau, and Excel dashboards and SQL queries will be used for analysis.
data-manipulation-with-pandas data-science data-visualization machine-learning mean-square-error predictive-analytics stratified-sampling xgboost 2-sample-t-test
Language:Jupyter Notebook 3
JuzerShakir / Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
linear-regression machine-learning algorithm univariate-regressions multivariate-regression hypothesis house-price-prediction linear-equations cost-function gradient-descent mean-square-error mse partial-derivative linear-algebra vector matrices feature-scaling mean-normalization bias-variance regularized-linear-regression
3
raun1997 / Linear-Regression-From-Scratch
This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.
artificial-intelligence dataframe deep-learning epoch gradient-descent machine-learning mean-square-error numpy numpy-arrays pandas pandas-dataframe
Language:Jupyter Notebook 3
unvercan / loss-function-comparison-pytorch
Comparison of common loss functions in PyTorch using MNIST dataset
cross-entropy-loss dataset deep-learning image-classification l1 l2 linear-classifier loss-functions machine-learning matplotlib mean-square-error mnist negative-log-likelihood neural-network numpy python pytorch
Language:Python 3
AloRay / GAS-PRICE-FORECASTING
This repository utilizes time series analysis to predict natural gas prices, aiding informed decisions in the energy market. Through meticulous data preprocessing, visualization, and ARIMA modeling, it provides accurate forecasts. With regression and interpolation techniques, it offers deeper insights for stakeholders, enabling proactive strategies
autoregressive-integrated-moving-average-arima bilinear-interpolation linear-regression mean-absolute-error mean-square-error root-mean-square-error
Language:Jupyter Notebook 2
amarlearning / Linear-Regression-Iris-Dataset
Applied Multivariable Linear Regression on Iris Dataset
linear-regression machine-learning mean-square-error gradient-descent matplotlib numpy beginner-project multivariate-regression
Language:Jupyter Notebook 2
DubiousCactus / optimization-algorithms
Implementation of different optimization algorithms. This was done as a research project for the MSc. in Computer Engineering.
backpropagation centroid classification-algorithm face-recognition image-classification machine-learning mean-square-error mnist neural-network optimization optimization-algorithms perceptron
Language:C++ 2
QuantumMonkey / LP-Diabetes-Prediction
Learning Project ML - Diabetes Prediction
logistic-regression mean-square-error naive-bayes-classifier random-forest-classifier pyplot train-test-split
Language:Jupyter Notebook 2
tejasp12 / Retail--Big-Mart_Sales_Analysis
Value to Business :: Using this Regression model, the decision-makers will able to understand the properties of various products and stores which play an important and key role in optimizing the Marketing efforts and results in increased sales.
data-analysis feature-engineering feature-selection onehot-encoding onehot-encoder labelencoder linear-regression linear-models multiple-linear-regression mean-square-error numpy pandas sklearn matplotlib
Language:Jupyter Notebook 2
Abhik35 / Assignments-Forecasting-Airlines-Data
Forecast Airlines Passengers data set. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting
lagplot matplotlib mean-square-error numpy pandas seaborn sklearn tsa-plot
Language:Jupyter Notebook 1
AHMEDSANA / Linear-Regression
Linear Regression using Matlab on a Kaggle dataset.
gradient-descent kaggle kaggle-dataset linear-regression machine-learning matlab matlab-deep-learning mean-square-error plotting regression matlab-code prediction-algorithm prediction-model diabetes-dateset-analysis diabetes-prediction
Language:MATLAB 1
benediktfesl / Diffusion_MSE
Implementation of the paper "On the Asymptotic Mean Square Error Optimality of Diffusion Probabilistic Models."
diffusion-models machine-learning mean-square-error generative-model
Language:Python 1
bernatmarcilla / image-vector-quantizer
Python images vector quantizer lossy compressor and decompressor.
quantizer vector-quantization image-compressor image-decompressor python mean-square-error
Language:Python 1
Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images
EliaFantini / Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
2d-convolution adam-optimizer autograd autograd-engine denoiser denoiser-network mean-square-error noise-reduction noise2noise python pytorch pytorch-framework pytorch-implementation relu-activation sigmoid-function unet sequential-pytorch
Language:Jupyter Notebook 1
Farhad-Davaripour / Step_by_Step_Data_Analysis_Auto_Dataset
step by step approach for data wrangling, descriptive statistical analysis, predictive analysis, model development, model evaluation, and decision making.
data-science data-analysis pandas python sklearn regression mean-square-error
Language:Jupyter Notebook 1
gagocarrilloedgar / data-science-js
Light js package to compute several data science formulas
data-science data-structures f1score js machine-learning-algorithms mean-square-error nodejs
Language:JavaScript 1
gajendrasharma-github / Predicting_Taxi_Fare
Regression based project with mean squared error as evaluation metric
evaluation-metrics mean-square-error regression
Language:Jupyter Notebook 1
Geo-y20 / Coursera-Managment-System
ML and Data Science-based recommendation system
data data-science data-visualization datacleaning machine-learning mean-square-error recommendation-system course coursera
Language:Jupyter Notebook 1
johnnyxcy / AnalyzingCaliforniaHousing
data-analysis r r-markdown mean-square-error cross-validation
1
mahadkhaliq / used_car_price_prediction_linear_regression
Used cars price prediction over custom dataset using simple linear regression
colab-notebook data-science data-visualization jupyter-notebook linear-regression machine-learning matplotlib mean-square-error numpy pandas python regression-models scikit-learn seaborn
Language:Jupyter Notebook 1
mustaffa-hussain / Performance-Metric
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
auc accuracy f1-score confusion-matrix mse mean-square-error mean-absolute-error r2-score precision
Language:Jupyter Notebook 1
rakib2611 / Toyota-Used-Car-Analysis-using-Machine-Learning
linear-regression one-hot-encoding label-encoding mean-average-error mean-square-error root-mean-square-error coefficient-of-variation
Language:Jupyter Notebook 1
Vidhi1290 / Essay-Quality-Prediction-Keystroke-Analysis-with-RandomForest
Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨
kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn essay-quality-prediction
Language:Jupyter Notebook 1
Niteshchawla / Jamboree-LinearRegression
Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.
lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor
Language:Jupyter Notebook 0
AliHaider5577 / BikeSharing_Regression_MachineLearning
Bike Sharing (Rentals) machine learning regression to predict total rentals by considering features of dataset
decisiontreeregressor eda exploratory-data-analysis gradientboostingregressor gridsearchcv hyperparameter-tuning linear-regression machine-learning-algorithms mean-square-error ml r2-score randomforestregressor regression-algorithms regression-models svr-regression-prediction visualization
Language:Jupyter Notebook
sultanazhari / determining-market-value-of-a-car
Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.
gradient-boosting-regressor lgbmregressor linear-regression matplotlib-pyplot mean-square-error numpy pandas python3 random-forest-regressor seaborn standard-scaler train-test-using-sklearn xgbregressor
Language:Jupyter Notebook
sultanazhari / predict-taxi-orders-for-the-next-hour
A taxi company called Sweet Lift has collected historical data on taxi orders at the airport and they need to predict the number of taxi orders for the next hour.
gradien-boosting lasso-regression linear-regression matplotlib-pyplot mean-square-error numpy pandas python3 random-forest-regression ridge-regression seaborn seasonal-decomposition statsmodels time-series train-test-using-sklearn
Language:Jupyter Notebook

mean-square-error

david-thrower / cerebros-core-algorithm-alpha

wecarsoniv / beta-divergence-metrics

mary-python / shuffle

aditya9211 / Super-Resolution-CNN

rjnp2 / facial_landmark_detection_using-cnn

IsmaelMousa / playing-with-torch

chandnii7 / Camera-Calibration

LynnFernandes23 / Housing-Price-Prediction-System

prabhatk579 / credit-card-fraud-detection-using-logistic-regression

dataditya / US-Airlines-Delay-Analysis-2023

JuzerShakir / Linear_Regression

raun1997 / Linear-Regression-From-Scratch

unvercan / loss-function-comparison-pytorch

AloRay / GAS-PRICE-FORECASTING

amarlearning / Linear-Regression-Iris-Dataset

DubiousCactus / optimization-algorithms

QuantumMonkey / LP-Diabetes-Prediction

tejasp12 / Retail--Big-Mart_Sales_Analysis

Abhik35 / Assignments-Forecasting-Airlines-Data

AHMEDSANA / Linear-Regression

benediktfesl / Diffusion_MSE

bernatmarcilla / image-vector-quantizer

EliaFantini / Noise2Noise-Lite-two-ligther-versions-of-the-famous-AI-denoiser-for-small-images

Farhad-Davaripour / Step_by_Step_Data_Analysis_Auto_Dataset

gagocarrilloedgar / data-science-js

gajendrasharma-github / Predicting_Taxi_Fare

Geo-y20 / Coursera-Managment-System

johnnyxcy / AnalyzingCaliforniaHousing

mahadkhaliq / used_car_price_prediction_linear_regression

mustaffa-hussain / Performance-Metric

rakib2611 / Toyota-Used-Car-Analysis-using-Machine-Learning

Vidhi1290 / Essay-Quality-Prediction-Keystroke-Analysis-with-RandomForest

Niteshchawla / Jamboree-LinearRegression

AliHaider5577 / BikeSharing_Regression_MachineLearning

sultanazhari / determining-market-value-of-a-car

sultanazhari / predict-taxi-orders-for-the-next-hour