This contains my submissions for all the Kaggle competitions.
This is my submission for the Spaceship Titanic Competition (competition can be found here). I performed some exploratory data analysis (EDA) and used a wide range of models with hyperparameter tuning to maximize accuracy. As of July 3rd, 2023; I've achieved an accuracy of 80.78%, placing in the top 13%. To read a more in-depth explanation behind my code, read my blog post here.
This is my submission for the House Prices Advanced Regression Competition (competition can be found here). I performed some exploratory data analysis (EDA) and used a wide range of models with hyperparameter tuning to maximize accuracy. As of July 20th, 2023; I've achieved an RMSE of 0.12349, placing in the top 10%. To read a more in-depth explanation behind my code, read my blog post [here]).
This is my code for the breast cancer prediction dataset on Kaggle (data can be found here). Since this was meant for my nonprofit (NWDSC) and complete begginers in AI, I kept the implementations very simple. But, also, I chose this project to expose the research applications of AI to the students. To read a more in-depth explanation behind my code, read my blog post here.