Daily analysis of dairy animal health using On-Body wireless activity tracker and on-Campus image processing system
solves a prediction problem: Whether enrolled animal in Texas Animal Shelter shall live or not.
Performance analysis of Sequential Backward floating selection mlxtend and Recurssive feature eliminator with cross validation by scikit-learn
k-means clustering is a partition based on centroids. DBSCAN clustering, in contrast does not define a central tendency which defines range of cluster. DBSCAN clusters areas of high density separated by areas of low density.
Even in abscense of ground truth; Quantitive performance evaluation for unsupervised learning algorithms can be done using Silhoutte score and calinski harabasz score
Check the link to know how Naive Bays classifier mitigates a potential challenge with Bays classifier that is – predicating conditional probability of all feature vector tuples given a label. Instead, Naïve Bayes Classifier considers all features conditionally independent.