A random forest model trained on part of the dataset supplied in https://www.kaggle.com/datasets/uciml/red-wine-quality-cortez-et-al-2009 https://archive.ics.uci.edu/ml/datasets/wine+quality
This is an AdaBoost model trained on the train data. Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei
Dataset containing tweets and meta data information for multiclass prediction for emotion of tweet. The data has 4653 tweet records with 5 features and a multiclass target column
