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

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

Predict the activity category of a human.

Implémentation d'un modèle de scoring : Projet réalisé dans le cadre du parcours diplômant de Data Scientist d'OpenClassrooms (projet n°7)

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

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

A personal journey to ML learning and understanding.

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

Customer Churn (Drop Off) Modeling

🩺 Machine Learning applied to stroke prediction for unbalanced data

Prediction of a productional appliance readings based on anonimized data.

Toy-project, unbalanced data, classification pipeline for multiple classifiers and parameters tuning.

unbalanced class classification with deep learning

Hate speech text (in Portuguese) classification using Machine Learning techniques.

classification of online purchasing rates

(Python) Proyecto enfocado en la creación de modelos predictivos como Regresión Logistica, Arboles de Decisión, KNN, SVM, Naive Bayes y Ensamblados. Inicialmente el problema consta de un analisis crediticio de clientes buenos/malos. Se utiliza una BBDD de clases desbalanceadas la cual se limpia y procesa para alimentar los modelos

Process of dealing with imbalanced data set and classification

Customer Churn Prediction for a Telecom company using ML.

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