Predicting long-term and short-term Video Memorability using Semantic and Video features.
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Updated
Jun 11, 2020 - Jupyter Notebook
Predicting long-term and short-term Video Memorability using Semantic and Video features.
Joint work product with co-authors Chelsea Jin and Matthew Ye for at the virtual ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop held on Sept. 22-25, 2020. Data engineering support from Nick Barbour.
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space. MICCAI 2019.
Tennis Player strength Analysis using Machine Learning
Genetic Algorithm based Selective Neural Network Ensemble
2023학년도 2학기 경기변동론 프로젝트 페이지
Machine Learning applications in python
This is a toy project to predict the flow of River Test using gauged data from Environment Agency and National River Archive.
PREDICTIVE ANALYTICS
A light-weight Kaggle challenge to predict crabs' age
Reward Penalty Weighted Ensemble approach for multimodal data stream classification
Thesis project with title: "Cognitive decline detection using speech features: A machine learning approach"
Machine Learning classification model to predict whether a used car bought at auction is good/bad using Ensemble methods, Random Forest, Logistic Regression and Boosting (XGBoost).
This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.
A series of notebook submissions I've done for the Kaggle Playground Series Competition.
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