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Spotify Recommender and Visualizer

By generating global song recommendations towards highlighting global talent and multilingual songs, our project aims to create a more diverse experience to music listeners while also providing a fun user experience by generating live, audio-responsive artistic visuals.

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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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Kepler Mission: Celestial Bodies Classification

Classification of the observed objects by Kepler orbital telescope as Exoplanets or not.

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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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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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Identifying Malignant Tumors with Machine Learning

Using data centered around the measurement of a variety of tumors, we created 3 machine learning models and compared the performance of each in classifying tumors as malignant or benign. We catered our approach, explanation, and demo towards medical professionals and explained a variety of model...

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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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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

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Predicting Yelp Review Quality

Using natural language processing (NLP) and machine learning (ML) to predict the usefulness of Yelp reviews given the review text and metadata surrounding the reviews.

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Nigeria Vehicles Price Prediction

The art of pricing is not an easy task and is sometimes only done by experts in the field, but with the study of historical data, it is possible to find patterns that lead to results just as well. With this project, I built a model that can predict the price of used cars, given a set of...

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Medium - Towards Data Science Writer

I regularly write Data Science and Machine Learning blog‐posts. Click on the links to read my most-read articles. (1) Using AI to automatically estimate the status of a façade (2) What I learned about Graph Neural Networks (3) Introduction to Reinforcement Learning: Temporal...

Alessandro Paticchio

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Transport for London Tube-Twin-Passenger-Forcasting-System

The London Underground (aka “The Tube”) is a network of train stations which connects the city. Understanding the behaviour of this tube network will help the management make key decisions on improving the network and offering better customers experience.

Fielami Emmanuel David

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Image Classification

Image classification is the process of categorizing and labeling groups of pixels or vectors within an image based on specific rules. The categorization law can be devised using one or more spectral or textural characteristics. Two general methods of classification are 'supervised' and 'unsupervised

Fielami Emmanuel David

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Spam Email Classification Model

Created ML and DL models which classify emails as spam or not spam. Includes Natural Language Processing, Machine Learning, and ANN and LSTM Deep Learning Models. Deployed the model as a Web Application using Streamlit.

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Customer Churn Prediction - My Intership Project End to End From Scratch

Pull and process raw data from the database, create a new data table at the customer level from raw data, make customer behaviour, demographics and product journey analysis, make customer segmentation from insight gathered, and make customer churn modeling to predict customers who will churn...