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Articles tagged with #data-science
This is a same binary classification problem with sklearn.load_breast_cancer dataset with a deep learning model. /to-train-and-predict Script reference: https://deeplearningcourses.com 1. Load the dataset import tensorflow as tf tf.__version__ #...
A Confusion Matrix is a performance measurement tool of a classification model. It's a table with the layout of: Predicted: YesPredicted: No Actual: YesTPFN Actual: NoFPTN The matrix has 2 classes (predicted and actual) and 4 categories: T...
The dataset used is the breast cancer Wisconsin dataset from scikit-learn. from sklearn.datasets import load_breast_cancer # Load the dataset b_cancer = load_breast_cancer() # Check the description print(b_cancer.DESCR) b_cancer is a Bunch (dictio...
Introduction Regression in statistics refers to a set of methods for estimating relationships between a dependent variable (often called "y") and one or more independent variables (often called "x"). The term regression was initially used in studies ...
To evaluate how well the clustering worked, we can calculate the silhouette score, which is a measure of how similar an object is to its own cluster compared to other clusters. The silhouette score ranges from -1 (a poor clustering) to +1 (a very den...
from sklearn.cluster import KMeans scaled_df, X_features Out: ( Freq_scaled SaleAmount_scaled ElapsedDays_scaled 0 -2.438202 3.707716 1.409894 1 1.188986 1.414903 -2.146498 2 -0....
