mean-square-error

benediktfesl/Diffusion_MSE

Implementation of the paper "On the Asymptotic Mean Square Error Optimality of Diffusion Models."

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Kamal-Shirupa/Photovoltaic-Power-Forecasting-using-Hybrid-Model

Our project focuses on forecasting photovoltaic (solar) power generation using a hybrid model of Gradient Boosting and LSTM. It predicts solar output with high accuracy, optimizing energy usage, improving grid stability, and enhancing renewable energy integration.

mary-python/shuffle

Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages

aditya9211/Super-Resolution-CNN

Super Resolution's the images by 3x using CNN

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

Classifying whether the credit card transaction is fraudulent or not using Logistic Regression

rjnp2/facial_landmark_detection_using-cnn

IsmaelMousa/playing-with-torch

Practice using PyTorch include data preprocessing, linear algebra, optimization, neural networks, CNNs, and more to cover ML and DL basics

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.

raun1997/Linear-Regression-From-Scratch

This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.

sushant1827/ARIMA-for-Industrial-Production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

CamilaJaviera91/Sales-Prediction-Using-PostgreSQL

This project is designed to extract sales data from a PostgreSQL database, process it, and use a Random Forest model to predict sales quantities. It also visualizes real and predicted sales for better understanding.

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.

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.

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

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

amarlearning/Linear-Regression-Iris-Dataset

Applied Multivariable Linear Regression on Iris Dataset

CamilaJaviera91/apache-beam-pipeline-first-approach

This code demonstrates how to integrate Apache Beam with scikit-learn datasets and perform simple data transformations. It loads the Linnerud dataset from scikit-learn, converts it into a Pandas DataFrame for easier manipulation.

CamilaJaviera91/Prediction-of-Housing-Prices-Using-Linear-Regression

This project provides tools to search for datasets on Kaggle, download and preprocess them, and perform predictions using a Linear Regression model. It includes interactive text-based user interfaces built with `curses`.

DubiousCactus/optimization-algorithms

Implementation of different optimization algorithms. This was done as a research project for the MSc. in Computer Engineering.

QuantumMonkey/LP-Diabetes-Prediction

Learning Project ML - Diabetes Prediction

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.

unvercanunlu/loss-function-comparison-pytorch

Comparison of common loss functions in PyTorch using MNIST dataset

AHMEDSANA/Linear-Regression

Linear Regression using Matlab on a Kaggle dataset.

benediktfesl/diffusers-MSEopt

Integrating the diffusion model-based MSE-optimal denoising strategy into the diffusers pipeline.

gajendrasharma-github/Predicting_Taxi_Fare

Regression based project with mean squared error as evaluation metric

Geo-y20/Coursera-Managment-System

ML and Data Science-based recommendation system

mahadkhaliq/used_car_price_prediction_linear_regression

Used cars price prediction over custom dataset using simple linear regression

Mariam-Badr-MB/Student-Score-Prediction

This project predicts students' exam scores based on study-related and demographic factors using machine learning models.

mkgeiger/neural-network

Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks

obirikan/L.R-with-Gradient-Descent

This project demonstrates how to use gradient descent to find the best-fitting line for a dataset using manual calculations. It visualizes how the algorithm learns to reduce error and draw the best line.

rasoulameri/River_Discharge_Regression

A hybrid machine learning framework for river discharge forecasting that combines ensemble regression models with the Arithmetic Optimization Algorithm (AOA) for hyperparameter tuning and next-day flow prediction.

soheilabadifard/Facial-age-estimation

Facial Age Estimation

umarbasha-ai/medical-cost-estimator

Predict medical insurance charges using regression models on the Medical Cost Personal Dataset. Includes model comparison, evaluation metrics, and visual insights.

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! 📝✨