NBA MVP Prediction

Description: My Diploma's FYP aimed at predicting the NBA's Most Valuable Player (MVP) based on player statistics, team performance, and historical data

Repo Link: https://github.com/yungxuan819/NBA_MVP_Prediction_FYP

Rossmann Sales Prediction and Dashboard

Description: A machine learning project that predicts retail store sales using a Random Forest model with an interactive Power BI dashboard for business insights and visualization

Repo Link: https://github.com/yungxuan819/rossmann-store-sales-prediction

Brawl Stars Player Dashboard

Description: Using Brawl Stars API, I collected data and built an ETL pipeline to store them using SQLite. Then, I obtained and cleaned necessary data, and built a visually appealing dashboard using Tableau, that shows visualizations to allow players to analyze their performances.

Repo Link: https://github.com/yungxuan819/brawl-stars-player-dashboard

Student Performance Analysis

Description: To understand the influence of the parents background, test preparation etc on students' academic performances, and accurately predict students' performance (score)

Repo Link: https://github.com/yungxuan819/student_performance_analysis

House Price Analysis

Description: A project focused on identifying key factors that influence house prices, and accurately predict house prices based on these factors

Repo Link: https://github.com/yungxuan819/Bengaluru_House_Price_Prediction

Music Popularity Prediction

Description: Based on pre-collected Spotify API data, I analyzed and find out the best predictive model to accurately predict the popularity index for each track

Repo Link: https://github.com/yungxuan819/music_popularity_prediction

Heart Disease Analysis

Description: I analyzed a dataset of individuals at high or low risk for heart problems using visualizations, and built predictive models to determine the most effective classification method for this case

Repo Link: https://github.com/yungxuan819/heart-disease-analysis

YouTube Channels Analysis

Description: This project involves analyzing a dataset containing key statistics from various YouTube channels, including views, subscribers, total videos, and more. The focus is on performing EDA through impactful visualizations, alongside with data cleaning and predictive model building to predict the 'average_views' of each channel.

Repo Link: https://github.com/yungxuan819/youtube_channels_analysis

Data Analysis Web App using Streamlit

Description: This project is a Data Analysis Web App built with Streamlit and Python. It allows users to upload CSV datasets and perform basic data analysis and visualizations without needing any coding knowledge. The app provides various interactive features to help users explore their datasets, identify missing values, and visualize key insights.

Repo Link: https://github.com/yungxuan819/data-analysis-web-app

Live App Link: https://yxdataanalysiswebapp.streamlit.app/