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WR Predictor

A web app allowing you to predict the best possible time for a game speedrun.
Charles-Meldhine Madi Mnemoi
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Saturdays.AI ML course

Course I organise with the aim of making Artificial Intelligence more accessible. The notebooks in the repo are the different sessions that the students go through, each one having a practice and a challenge for them to solve. The topics covered are Exploratory Data Analysis, Supervised and...
Marcos Ivorra Peleguer
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Covid-19 Vaccination rollout prediction

Project whose objective was to forecast the rollout of vaccination predictions amongst affected countries. Given the uncertainty aspect of the problem, we used probabilistic methods to measure the uncertainty of the forecasts. Moreover, given the disparity in policies against Covid-19 and the...
Marcos Ivorra Peleguer
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Poverty rate analysis with linear regression and PCA

This notebook focuses on the analysis of the poverty rate of OECD countries in 2015. The analysis shows that income inequality explains the most of the poverty rate, but the share of this factor tends to change depending on the country.
Valentin Joly
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From-Scratch Machine Learning Algorithms in Python

Implementation of KNN classification/regression, K-means Clustering classification/regression, neural networks (multi-layer perceptron classifier/regressor), and gradient descent least-squares optimization with regularization. These projects were coded with the intent to cement my knowledge of...
Turner Luke
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Flower specie classification

In this project, I trained an image classifier to recognize different species of flowers with over 98% accuracy on the test set. The classifier is then exported first for a command line application and then a web application using streamlit and later deployed with Heroku.
Michael Ewetola
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Fake News Classification

I use bagging and boosting ensemble methods and compare the results in classifying fake and real news articles.
Gareth Moen
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Imbalance classification problem

Final dissertation for the BSc in Statistics at Università degli Studi di Napoli Federico II. The document proposes several approaches to deal with Class Imbalance.
Gabriele Cola
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Deep Learning: Image Recognition with CIFAR-10

The goal of this project will be to develop several ConvNets to correctly classify images to develop a scalable approach to image recognition. The approaches described can be applied to labeling the content of images, performing image searches, guiding robots, self-driving cars, and more.
Eric Haney
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Artificial Neural Networks: Predicting Patient Outcomes

The goal is to understand the factors that lead to the survivability of patients who have experienced an acute myocardial infarction. Looking at a sample population of patients in the Massachusetts area, advanced data analysis will help gain some clarity on what affects their outcome.
Eric Haney
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"Le parole danno i numeri"

Twitter analysis aimed at profiling subjects affected by quarantine-induced stress
Nicola Salerno
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Auto Text Generation

Developed an intelligent application that predicts the next n words given a sequence of words based on a Markov's N-Grams assumption.
Priyesh Dave
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Movies Recommender System

Developed an intelligent application that recommends user movies related to the movie selected by the them based on Cosine Similarity among the movies.
Priyesh Dave
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Credit Card Fraud Detection with TensorFlow and Keras

For this project, I attempted to train an Autoencoder Neural Network (implemented in Keras) in unsupervised (or semi-supervised) fashion for Anomaly Detection (fraud detection) in credit card transaction data. The trained model will then be evaluated on a gold standard pre-labeled and...
Jeffrey Ekeanyanwu
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Web Traffic Analysis and Forecasting

(Click on the link - Takes 1-2 minutes to completely load. ) Analyzed and predicted the future traffic for multiple time series of Wiki pages.
Avash
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Using co-word network community detection and LDA topic model to extract topics on TED Talks.

This project applies two automatic clustering (co-word network analysis with community detection & NLP techniques with LDA topic modeling) on 3 data columns (related tags, video description and transcript) to extract topics from TED Talks, and discerns whether more controlled vocabularies and...
Amber Hong
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Sentiment analyses of virus names and world’s sentiments on Taiwan’s inclusion in WHO/WHA under the influence of COVID-19.

Tweets with non-official references of the virus name (pneumonia & Wuhan virus) show lower and more negative sentiment scores in either Chinese or English context. The difference of sentiment scores inferred from some frequent hashtags are larger under tweets written in Simplified Chinese than...
Amber Hong
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Olive Oil Classification

This is a machine learning project where we used classification models to find the source region of olive oil based on its chemical properties. I have embedded the project in a web app using Streamlit library.
Soufiane DAHIMI
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Machine Learning: Regression project

As a final project for the second course of the ibm machine learning specialization, do a simple project on a linear regression applying different configurations and regularizations.
Vicente Figueroa
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Deep Learning Project

As a final project of the deep learning course of the ibm specialty for machine learning, I tested different configurations of text processing in recurrent networks, obtaining different results and perspectives with each model tested.
Vicente Figueroa
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