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advanced-blog-with-users

Blog built with Flask, Backend with Python.

bdagroupass

confess-it

Java program that is similar to a confession platform. It allows users to submit post, view post and reply post. Administrative functions such as approve post and delete post are included too. In addition, like, dislike, archive, spam detection and more has been implemented. The whole project is done using local host database.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dashboard-wie3010-tutorial-3

Tutorial 4 for WIE3010

data-visualization-challenge

datasets

Repository for datasets that will be used for practicing machine learning

depressionindicator

fyp_hyperparameter_tuning

gif-resources-test

hpo_experiment

This is a data science project conducted by Universiti Malaya student, Wong Yan Jian (U2102753/1) in First Semester 23/24. It is a project collobarated with EY that aims to compare half grid search, simulated annealing, genetic algorithm with grid search.

hyperparameter-tuning

This is a repository consisting of Python code used for optimizing hyperparameter via Grid Search, Half Grid Search (Successive Halving), Simulated Annealing and Genetic Algorithm.

math-quiz

A math quiz web application powered by R Language and the GUI is done with RShiny.

omazon

parcel-pickup-database

This is a database assignment done by the undergraduates from the University of Malaysia.

pca_reduction

This is the solution for the Question 1e for the WIA1006/WID3006 final exam.

portfolioultrapromax

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

wix3001---matlab-programming-assignment

The WIX3001 project utilizes a Genetic Algorithm to optimize Neural Networks for predicting outputs of Wine Recognition, Students' Dropout & Academic Success and Car Evaluation databases. Advanced techniques enhance the algorithm's performance, showcasing the synergy between evolutionary algorithms and neural networks.