Big data manipulation and modelling projects
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Updated
Nov 3, 2019 - Jupyter Notebook
Big data manipulation and modelling projects
Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus
A python class for making machine learning algorithms cost sensitive.
Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn
To evaluate the performance of supervised machine learning models to make a written recommendation on whether they should be used to predict credit risk.
This is the repository for implementation of 'Knowledge Distillation for Multi-task Learning'
Credit card transactions fraud detection using classic algorithms
Applying various data engineering techniques into image classification task for KAIST DS801 term project
Extended cross validation, feature selection methods for imbalanced data analysis
Utilizing data preparation, statistical reasoning, and supervised machine learning to solve a real-world challenge: credit card risk.
Using machine learning algorithms to predict credit risk
Final project for Data Mining course (Uniba)
Master Thesis
Multivariate Normal Distribution Based Over-Sampling for Numerical and Categorical Features
Imbalanced learning of real world datasets - motor vehicle collisions on public roads in Canada.
Testing 6 different ML models to predict credit risk on loan applications.
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
Credit Risk Classification
A collection of custom Tensorflow Keras objects mostly for hierarchical multilabel learning and recommender systems
[2024 TNNLS] Source code of an online active learning strategy (DSA-AI)
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