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World Mortality Dataset: international data on all-cause mortality.
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In the realm of predictive analysis for Hill Valley, logistic regression is a statistical technique employed to forecast binary outcomes related to various factors in the region
dataset model classification tabular scikit-learn object detection image classification information retrieval anomaly detection git mlflow github
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Showcasing DagsHub Annotations, Label Studio integration, Discussions, and other related features
Updated 7 months ago
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Designing your first machine learning pipeline with few lines of codes and simple drag and drop using Orchest. In this project we will train binary classification model to predict epitope which is used for vaccine development.
Updated 2 years ago
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I have experimented with multiple traditional models including Light GBM, Catboost, and BiLSTM, but the result was quite bad as compare to triple GRU layers. Using simple 3 Bidirectional GRU layer with linear activation. This model is quite simple and derived from xhlulu initial model.
Updated 2 years ago
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We will be using Internet News and Consumer Engagement dataset from Kaggle to predict top article and popularity score.
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A repo for the tutorial explaining the benefits of DVC and DAGsHub, using the classification of questions for the Cross Validated statistics Stack Exchange as an example problem