The Mulan Framework with Multi-Label Resampling Algorithms
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Updated
Feb 8, 2020 - HTML
The Mulan Framework with Multi-Label Resampling Algorithms
Pediatric pneumonia image classification with (strongly) imbalanced data via Pytorch 🫁
Scripts for Anti-HLA antibody target prediction via machine learning
This Project is all about building a DL pipeline to process the real world, user-supplied Images. Given an image of a dog the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.
Machine Learning Individual Project - November 23, 2021
Data Analysis and Feature selection on Spark on anonymous data
Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus
Using R Markdown for Data Analysis, Machine Learning
Team project for BA810 (Supervised Machine Learning)
Predicting Downhole Equipment Failures
Quantified drug consumption using personality tests and demographic data.
Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling
An analysis of travel insurance policies
UvA - Machine Learning for Econometrics - Data Challenge
Predicting if a NBA rookie player will last at least 5 years in the league
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