Prediction model for Salary Hike by Simple Linear Regression

Uncertain parameter estimation on Grey-Box Dynamic Systems

Learning Project ML - Diabetes Prediction

Facial Age Estimation

Implementation of Gradient Descent that trains a linear regression model.

Performing gradient descent for calculating slope and intercept of linear regression using sum square residual or mean square error loss function.

Used cars price prediction over custom dataset using simple linear regression

Predicting the salary using Polynomial Regression

linear regression implementation with gradient decent

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.

Calculates and visualizes the temporal domain and frequency domain mean squared error of ffmpeg audio filters

Python images scalar quantizer lossy compressor and decompressor.

Prediction model for Delivery Time by Simple Linear Regression

Linear Regression using Matlab on a Kaggle dataset.

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

This code does linear regression using scikit-learn and custom NumPy implementation. It loads datasets, removes NaNs, scales features, trains and evaluates models, and plots best fit line. Custom model uses gradient descent. Outputs R2 score, coefficients, and intercept.

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.