Coursework for the class IT3030 - Deep learning, taken during Spring 2022
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Updated
May 6, 2022 - Jupyter Notebook
Coursework for the class IT3030 - Deep learning, taken during Spring 2022
Using Supervised Learning techniques to predict which images of Venus' surface contain volcanoes.
Predicts the qualified employee for promotion using Classification
In class Kaggle competition on predicting bankruptcy of a firm
ML Algorithms notebook with dataset. Will keep on Updating this Repo.
Predicting a price range of Mobiles using KNN
This project was made for classifying Covid and non-covid patients through cough sound. This is a non-invasive, inexpensive, and easy method so we can use that as the first filter
This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance
Study of methods to counter class-imbalance in deep learning models.
Predicting categories of scientific papers with advanced machine learning techniques involving class imbalance in multi-label data and explainable machine learning.
MSc Artificial Intelligence Thesis at the UvA in collaboration with the City of Amsterdam. The project concerns the improvement of semantic segmentation quality of underrepresented objects in imbalanced urban point clouds.
REBAGG: REsampled BAGGing for Imbalanced Regression Tasks - LIDTA 2018
Estimation and correction of IQ imbalance in a QPSK modulation
Predict employee turnover with sci-kit learn in python
Loan Delinquency Prediction from Analytics Vidya
Use price, weather data to predict food security in sub-saharan Africa
This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
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