Projects Projects during Course Works.

The primary objectives of the analysis are to identify trends, assess the success rates of space missions, and build predictive models using Logistic Regression and RandomForest Classifier.

This project implements and analyzes various numerical methods for solving both linear and non-linear equations. Numerical methods are essential in scientific computing, allowing for the approximation of solutions to mathematical problems that cannot be solved analytically. This project provides a robust set of tools for solving equations, analyzing their performance, and understanding the convergence properties of different methods.

The purpose of the Dog Breed Classifier project is to create a machine learning model that can classify images of dogs into specific breeds. The model is trained on a dataset of dog images and uses a pre-trained deep learning model for image classification.