Linear algebra

The goal is to create a model capable of accurately predicting house prices based on various features, such as house age, distance to the nearest MRT station, and the number of convenience stores.

Source files for linear power supply unit 0-30V/0-4.6A with IIC interface

The standard linear program for optimization is implemented in Julia using JuMP.

Simple .NETv4 app that can be used to preview Flexmap calibration files

Linear regression is one of the easiest and most popular Machine Learning algorithms. It is a statistical method that is used for predictive analysis.

📌 Deep learning techniques applications in the domain of Transportation engineering were explored

Convert input general matrix from row-major to column-major layout or vice versa.

Interchange two double-precision floating-point vectors.

Find the index of the first element having the maximum absolute value.

The goal of this project is to model the relationship between vehicle specifications and CO2 emissions using **Multiple Linear Regression**. We aim to predict `CO2EMISSIONS` from features like `ENGINESIZE`, `CYLINDERS`, and `FUELCONSUMPTION_COMB`.

LAPACK routine to find the index of the last non-zero row in a input matrix.

Predicting the number of bikes for a rental company based on topographical data

Linear Algebra and Geometry, matrices and linear equations

The project is a MOD for a REAL hydraulic handbrake, converting it into a linear analog signal to be used for Simracing.

Data Structure and Algorithm

Neural Networks and Deep Learning Models

Generate a linearly spaced numeric array.

Apply a plane rotation.