MATLAB based program to analyse motion equation and other related parameters.

Massachusetts Institute of Technology course MITx 6.00.2x "Introduction to Computational Thinking and Data Science" (Winter 2019). An introduction to using computation to understand real-world phenomena. John Guttag, Professor of CS and EE, Massachusetts Institute of Technology. Part 2 of »Computational Thinking using Python« XSeries® program on…

Draws the best fitted graph for a given module

A script to analyze Raman spectroscopy data in txt files from mapping measurements using pandas dataframes. The data is collected for two-dimensional MoS2 and WS2 sample with calibrational Si to normalize intensity.

🚀 This web application allows you to visualize and experiment with polynomial regression in real-time

An interactive Streamlit app for curve fitting — fit straight lines, parabolas, and geometric curves to your data using least squares. Built with NumPy, Pandas, and Matplotlib.

Numerical methods to solve an equation, fit a curve, find integral, and more.

Benchmarking the time taken by various sorting algorithms. Proving that the runtime is of the order c. n.log(n)

The core library of prediksicovidjatim

Genetic Algorithms techniques in solving a searching problem for optimization.

This is a implementation of the basic B-spline approximation for a set of 2d points.

A simple wrapper around scipy.optimize.curve_fit to simplify fitting with parameter specifications defined by dataclass fields.

In this repository, I am uploading various numerical methods widely used in Physics and Astronomy for different purposes.

Arduino Nano ESP32 Word and Fibonacci clock projects. Logit regression in Microsoft Excel designed for ELISA and RIA tests.

Predicts ice cream sales based on temperature using Polynomial Regression. The model captures the non-linear relationship between temperature and sales, achieving R² ≈ 0.94 (train) and 0.89 (test). Includes data preprocessing, model training , Evaluation, and interactive results visualization.

converting rainfall intensity-duration frequency tables into time series rainfall data for hydrologic simulations

Credit card fraud detection model that is built using Machine Language and R programming

This project tries fitting a curve using regression. It derives formulas from the linear model and each thread fit the data using a different formula. The formula with the smallest error function is used as visualization.

this is implementation of some well known numerical analysis formulae, line curve fitting and ploting of functions in Scilab, what I've learned in Maths-IV lab.

Numerical Methods implementation in C++