Category: Classification

Cluster-then-predict for classification tasks

From: https://towardsdatascience.com/cluster-then-predict-for-classification-tasks-142fdfdc87d6 K-means from https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html Introduction Supervised classification problems require a dataset with (a) a categorical dependent variable (the “target variable”) and (b) a set of independent variables (“features”) which may (or may not!) be useful in predicting the class. The modeling task is to learn a function mapping features and their values to a target … Continue reading Cluster-then-predict for classification tasks →

Deep Learning for Time Series Classification (InceptionTime)

From: https://towardsdatascience.com/deep-learning-for-time-series-classification-inceptiontime-245703f422db Fig. 1: The Inception module of InceptionTime. Index MotivationMachine Learning for Time Series ClassificationBest Deep Learning practices for Time Series Classification: InceptionTimeUnderstanding InceptionTimeConclusion 1. Motivation Time series data have always been of major interest to financial services, and now with the rise of real-time applications, other areas such as retail and programmatic advertising … Continue reading Deep Learning for Time Series Classification (InceptionTime) →

Implemetation of 17 classification algorithms in R using car evaluation data

From: https://www.datascience-zing.com/blog/implemetation-of-17-classification-algorithms-in-r-using-car-ev This data is obtained from UCI Machine learning repository. The purpose of the analysis is to evaluate  the safety standard of the cars based on certain parameters and classify them. The detailed description of the dataset is provided below as given in the website: For detailed code visit my Github repository  1. Title: Car Evaluation … Continue reading Implemetation of 17 classification algorithms in R using car evaluation data →