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Goodreads - Web Scraping using Beautiful Soup

A mug of coffee and my favorite novel, an ideal day for me. But deciding which novel to read is a tedious job, I always go for Goodreads for recommendation and reviewing of the novel. Goodreads is one the world’s largest community for reviewing and recommending books. As a voracious reader,...

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Sartorius Cell Segmentation Competition

In this competition i detected and delineate distinct objects of interest in biological phase contrast microscopy images depicting neuronal cell types commonly used in the study of neurological disorders. At first, i tried with a UNet with transfer learning using the Imagenet weights,then , i...

Alberto Zorzetto

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Domesticated Animal Image Classification with Python

In this use case, my colleagues and I collaborated on creating and optimizing a convolutional neural network in order to identify domesticated animals versus non-domesticated animals to assist in funding suggestions for local animal shelters. Using the CIFAR-10 dataset with over 60,000 images,...

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Sentiment247

Sentiment247 is an application that detects emotional tone in text data by dictating polarity and determining depression using NLP techniques.

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US 2020 Elections Analytics

With my team, we used tweets collected with the Twitter API regarding the US elections of 2020. Using the LDA algorithm, we spotted the most talked topics in the months leading up to the election and for a short period after it. We also trained ML models with annotated data for gender...

Angelos Moavinis

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Strava Kudos Predictor

Created a tool that predicts kudos, a proxy for user interaction, on Strava activities (RMSE: 9.41) to see if it was random or if different attributes impact kudos in different ways. Attained over 4000 Strava activities using the Strava API and python. Engineered new features using domain...

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Recipe Recommendation System

Created a tool that recommends recipes based on ingredients inputted to help students eat better food. Scraped over 4000 recipes from All Recipes and Jamie Oliver using python and beautiful soup. Parsed recipe ingredients and created word embeddings using Word2Vec and TF-IDF. Created a recipe...

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Covid19 Dashboard Netherlands

A Dash Plotly dashboard which visualizes Covid19 data concerning the Netherlands supplied by the RIVM: National Institute for Public Health and the Environment. The data on the dashboard is updated multiple times a day to provide up-to-date visualizations. The web application is hosted in a...

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Dutch Text Simplification with MUSS

MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases, as the name suggests, can train a state of the art text simplification model with unlabelled data. This is an implementation of the paper for the Dutch language, which is altered to run on a workstation with 32GB RAM...

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Review Sentiment Analysis with BERT using TensorFlow and Hugging Face

A simple tutorial on how to use distilBERT or BERT for a NLP classification problem on Google Colab using TensorFlow and Hugging Face pre-trained models. The used data are reviews scraped from the web and pulled through Google Translate to obtain an English review dataset together with the...

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Streamlit Deployment of Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning (CAST)

I'm a big fan of vintage posters. In the past I've tried to make vintage posters by scraping a ton of vintage posters, together with landscape pictures, and train a CycleGAN in to apply the style of vintage posters to the pictures. The results were underwhelming and training the networks capable...

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Glycemic Index vs. Glycemic Load

The data for this project is scraped from mendosa.com which includes over 1700 foods' Glycemic Index (GI) and Glycemic Load (GI) values. These features are diet related (sugar levels) and the formula for them suggests that they should have a moderate to strong correlation. That's why, after some...

Vusal Kamalzada

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Condition report with reflectance and absorbance datasets for Sunday in London (OCLC No. 2756214)

This is a condition report that measured reflectance and absorbance datasets for the paper used in the 1833 publication "Sunday in London"

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Condition report with reflectance and absorbance datasets for Moran, Patrick Francis. History of the Catholic Church in Australasia, from Authentic Sources. Sydney: Oceanic Publishing Company, 1894

This is a condition report that measured reflectance and absorbance datasets for the paper used in the 1894 publication "History of the Catholic Church in Australasia"

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IBM course project: Classification

As a final project for the third course of the ibm machine learning specialization, do various classification models to make a explanation of the insights and learn in the course

Vicente Figueroa

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Heart rate prediction using Logistic Regression

World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases. The early prognosis of cardiovascular diseases can aid in making decisions on...

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2020 U.S. Presidential Election Analysis

A tableau dashboard was created to analyze the 2020 United States Presidential Election. The result shows that the majority of the following demographics voted for Donald Trump - ages 45 and above, did not graduate college, male, married, live in a rural or small town, white people, earning...

Maynard Emmanuel B. Miranda

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Analysis of Sample Courses Published on Udemy EdTech Platform

A sample of courses published on udemy.com was gathered from an article on Medium; the courses were grouped into four category. The dataset was cleaned, manipulated and explored for insight using standard pythonic programming. The cleaned dataset was exported as excel and subsequently loaded...

Nnaemeka Onyebueke

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Scraping & Data viz.

Allociné and imb Data viz are two projects for collecting data via web scraping, data analysis, and data visualization. the objective of the two projects was to analyze the cinema sector in France and to bring out relevant information for better decision-making by the individual. The analysis is...

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Predicting Airbnb Rental Prices in the U.S.

This project analyzed the factors that may have significant roles in affecting prices, which will provide comprehensive insights about Airbnb rental price valuation across the U.S.

Kathleen Yoojin Jeong