Tag Archives: Random Forest

Prediction of Tomorrow Rain in Australia

In this project, we aim to predict whether or not it will rain tomorrow by training a Random Forest classification model on target RainTomorrow. This dataset contains daily weather observations from numerous Australian weather stations. The data contains the following columns: Date: The date of observation Location: The common name of the location of the weather station MinTemp: The minimum temperature in degrees celsius MaxTemp: The maximum temperature in degrees celsius Rainfall: The amount of rainfall recorded …

Prediction of Breast Cancer Diagnosis

In this project we aim to Predict if tumor is benign or malignant by training a Random Forest classification and K-Means clustering model on target Diagnosis. The data contains the following columns: id: ID number diagnosis: The diagnosis of breast tissues (M = malignant, B = benign) radius_mean: mean of distances from center to points on the perimeter texture_mean: standard deviation of gray-scale values perimeter_mean: mean size of the core tumor area_mean: mean area size of …