[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
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Updated
Apr 28, 2017 - R
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
Experiments on Porto Seguro's Safe Driver Prediction Challenge
A binary classification task: predicting the direction of increase and decrease in US crude oil inventories with SVM
Creating simple ANN with the help of Keras library for binary-classification
Convolutional neural network classifying dogs and cats
Several binary classifiers based on data preprocessed with K-mers
This project is about predicting the next-day rain in Australia with some various binary classification methods
Predicting whether someone was vaccinated against the seasonal flu or not based on demographic information and survey answers
Maximizing Bank's Profitability
Детектор фейковых профилей Instagram
I performed statistical analysis and experimental machine learning strategy using 1 day historical data of Bitcoin
Credit Risk Modelling For Dummies: But With Fewer Dummies
Predicts which customers are at high risk of cancelling the subscription to a service, based on their behaviour.
Creating a model to predict employee retention, aiding HR in risk identification and retention strategies. Emphasizing accuracy, precision, recall, and F1 score. Encompasses data collection, preprocessing, feature engineering, model training, and evaluation stages.
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