Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative

Predicting Machine failure using Machine learning on a synthetic dataset of an existing milling machine consisting of 10,000 data points

Binary classification with unbalanced tabular data

This project consists on improving KNN to be able to better deal with imbalanced classes. Project for the "Machine Learning" course on the Second Semester of the Second Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

Repositorio de la asignatura Inteligencia de Negocio cursada en la UGR. curso 2020-21

Building a model to detect anomaly in the credit card transactions

Fraud detection based on 6 million transactions

🩺 Machine Learning applied to stroke prediction for unbalanced data

Kaggle Project : Anonymized credit card transactions labeled as fraudulent or genuine

Учебный проект по обработке несбалансированного датасета для классификации

Predict the activity category of a human.

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

About Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results. Topics

Customer Churn Prediction for a Telecom company using ML.

A personal journey to ML learning and understanding.

Customer Churn (Drop Off) Modeling

Train different classification models on the unbalanced dataset and applying different evaluation methods to it.

Process of dealing with imbalanced data set and classification

Comparative ML workflow applied to Balanced (SPAM) and Unbalanced (Diabetes) datasets with focus on missing values and class imbalance.