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

Predict the activity category of a human.

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

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

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

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

Цифровой прорыв - чемпионат Новосибирской области - классификация объектов железной дороги