This Project will perform linear regression on Automobiles MPG

Compute a moving root mean squared error (RMSE) incrementally.

Compute the root mean squared error (RMSE) incrementally.

imagor video thumbnail server in Go and ffmpeg C bindings

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Comparing two images by using 9 metrics: VIFP, PSNR, SSIM, FSIM, RMSE, ISSM, SRE, SAM, UIQ.

[DACON Competition] experience Jeju specialities

experience Jeju specialities

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

Optimizing lighting distribution across regions by adjusting lamp powers.

Python, K-fold, RMSE, Pearson

An R package to apply affine and similarity transformations on vector layers (sp objects)

The dataset comprises data obtained from the 1990 census conducted in the state of California.

Delve into the exciting world of Applied Machine Learning to deliver personalized anime recommendations! This project is designed to help anime enthusiasts discover new series tailored to their unique preferences, enhancing their viewing experience.

Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.

Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output

The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.

Linear Multilinear and Logistic Regression in Machine Learning

Supervised Machine Learning algorithms for Regression in R and Python