Stacked machine learning models demo
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Updated
Jul 12, 2023 - Jupyter Notebook
Stacked machine learning models demo
Implementation of two major ensemble learning methodologies, Bagging and Stacking, over the tasks of classification and regression. Also, compared the results of Random Forests with multiple Boosting Techniques.
Machine Learning Model to predict student graduation grade
This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised
Kaggle competition on Walmart data
For this group project, I performed cluster analysis and classification using Python to predict one of three classes for water pumps; functional, functional but needs repair, and non-functions. I used clustering to find hidden data structures to exploit for fitting individual classification techniques with better results than using the entire da…
Stacking model for sign language images
A Machine Learning Project that aims to perform loan defaults prediction to help banks mitigate the risk of lending bad loans
Visa approval process by leveraging machine learning on OFLC's extensive dataset, aiming to recommend suitable candidate profiles for certification or denial based on crucial drivers.
Notebook files for classification and detection of anomalous trend in time series inverter data
Application of learnings in the Machine Learning course , this project mainly gives first hand idea of elaborative exploratory data analysis performed on data sets and various advanced regressions models are used for predicting House Prices.
Comparison of ensemble learning methods on diabetes disease classification with various datasets
성균관대학교 우수학부생 연구학점제를 통해 작성한 논문입니다.
Credit-classification using Stacking Classifier
2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>
This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.
2024 상반기 LG Aimers 오프라인 해커톤 대회(최우수상)
A Novel Stacked Ensemble Model of Random Forest, Gradient Boosting & Bagging Regressor with RNN as the meta-learner layer for Crop Yield Prediction
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