Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.
This repository is created to focus on code optimisation. Today in the world of programming, where everywhere - everything is getting coded. It is very important to write optimised code. We need to focus on various complexities involved.
Imagine having a limited space and you want to fill it with N objects of different sizes in order to minimize the remaining empty space. This problem can be solved using a simple genetic algorithm approach where each DNA component represents an object with a given size.
RWH optimisation using advanced OR techniques. Project built during national finals of Smart India Hackathon 2019. Team Six Nearest Neighbors. For AM2, Goldman Sachs.
This Repo contains - Starter files, Coursework, Programming Assignments for the Master Algorithmic Programming Techniques Specialization Course -- offered by UC San Diego, Coursera.
An NUS timetable generator which uses a genetic algorithm to optimise timetables to suit the needs of NUS students. (Project submission for Hack&Roll 2022)