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active-learning

aiie

AI Incidents Explorer

aiie-incidents

analyzing-tripadvisor-data

TripAdvisor web scraping using Seleneum - analysis using visualizations

bias_fairness

bitcoin

Bitcoin scripts using bitcoin-utils library

community-detection-in-social-networks

Community Detection on a Twitter Dataset

cost-sensitive-learning

Cost Sensitive Learning in German Credit Data

count-triangles-in-complex-networks

Exact and Approximate triangle counting algorithms using Python and exploration of their scalability properties on different real-world datasets

ethereum-solidity

Smart contract in Solidity, using the Ethereum blockchain.

feature-selection---discretization

fitbit-api-mongodb-streamlit

This is a hands-on lab project on using public APIs for acquiring data from the web, storing them in NoSQL databases, and visualizing them on a web platform. Each group (same as 1st lab project) will experiment on a task that contains Fitbit data (acquired from the Fitbit Web API), Python, MongoDB and Streamlit.

multi-label---multi-instance-learning

multi label and multi instance learning on DeliciousMIL dataset

systematic-study-on-class-imbalance

demonstrate different models such as Variational Autoencoders and GANs in a variety of datasets, including tabular, text and image data, including the generation of synthetic data for comparison of their effectiveness in all models for each kind of dataset

time-series-classification

Time Series Classification Analysis of 21 algorithms on the UCR archive datasets + Introduction to a Convolution-based classifier with Feature Selection

unlocking-insights-from-twitter-data-with-neo4j-a-hands-on-tutorial

walmart-sales-prediction

Predicting Walmart sales based on a specific store and specific departments