williamblanzeisky

AddressingBiasinMultiLabelImageClassification

Addressing Underestimation Bias in Multi-Label Image Classification

Algorithmic-Bias-and-Fairness-in-Case-Based-Reasoning

This repository contains all datasets and algorithm used in our paper 'Algorithmic Bias and Fairness in Case-Based Reasoning'. This paper is currently under review for publication in ICCBR'22.

AlgorithmicFactorsInfluencingBiasinML

Bag-of-Words_From_Scratch

This repository contains an .ipynb of my implementation of bag of words and compare it to Scikitlearn's BoW implementation

Behaviour-of-Linear-Models

Observing how linear model works on different conditions.

bias-mitigation-examples

clustering

Applying clustering algorithm (k-means) to graph data and apply dimensionality reduction technique (2D) to visualize cluster representation of the data

Machine-Learning-Database

Machine-Learning-Portfolio

SBDG

Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning

williamblanzeisky/Behaviour-of-Linear-Models

Observing how linear model works on different conditions.

williamblanzeisky/Algorithmic-Bias-and-Fairness-in-Case-Based-Reasoning

This repository contains all datasets and algorithm used in our paper 'Algorithmic Bias and Fairness in Case-Based Reasoning'. This paper is currently under review for publication in ICCBR'22.

williamblanzeisky/clustering

Applying clustering algorithm (k-means) to graph data and apply dimensionality reduction technique (2D) to visualize cluster representation of the data

williamblanzeisky/SBDG

Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning

williamblanzeisky/AddressingBiasinMultiLabelImageClassification

Addressing Underestimation Bias in Multi-Label Image Classification

williamblanzeisky/AlgorithmicFactorsInfluencingBiasinML

williamblanzeisky/Bag-of-Words_From_Scratch

This repository contains an .ipynb of my implementation of bag of words and compare it to Scikitlearn's BoW implementation

williamblanzeisky/Machine-Learning-Database

williamblanzeisky/Machine-Learning-Portfolio

williamblanzeisky/Decision-Trees

Applying decision tree algorithm to Donors choose dataset

williamblanzeisky/FADE

williamblanzeisky/Hyperparameter_Tuning

williamblanzeisky/k-NN

KNN

williamblanzeisky/LightGBM-Donors

Applying LightGBM on Donor's choose dataset

williamblanzeisky/LSTM_on_IMDB

Using Keras to implement LSTM on IMBD dataset

williamblanzeisky/Model_Deployment

Deploying model using flask to localhost and AWS

williamblanzeisky/Naive-Bayes

Applying Naive Bayes

williamblanzeisky/NLP_Basics

Text processing, Application of Bag-of-Words, N-gram, TF-IDF, Word2Vec, Avg-W2V, TF-IDF_W2V

williamblanzeisky/On-the-Faithfulness-of-Conditional-Probability-Estimates

williamblanzeisky/ParetoSimulatedAnnealing

williamblanzeisky/PCA_T-SNE

Use dimensionality reduction techniques such as PCA and T-SNE to visualize high-dimension data into 2D/3D.

williamblanzeisky/Performance-Measure-without-sklearn-

williamblanzeisky/Probability_Statistics

williamblanzeisky/QLearning_SARSA

Implementation of temporal difference learning: Q-Learning and SARSA

williamblanzeisky/Random_Forest

williamblanzeisky/RecommenderSystem

williamblanzeisky/SGD-Classifier-from-Scratch

Implementing SGD classifier (log-loss) from scratch.

williamblanzeisky/Speech_To_Text_Using_GCP-

Using Google API to convert speech to text

williamblanzeisky/TF-IDF-From-Scratch

This repository contains an ipynb file where I built TF-IDF from scratch and match it with sklearn implementation.

williamblanzeisky/TF_1.x_MLP-DropOut-BatchNorm-SGD-ADAM