Publications by Tesfahun Tegene Boshe
Omnichannel
##Omnichannel Platforms for lower labor cost An omnichannel platform is a unified system that enables businesses to provide a seamless and consistent customer experience across multiple channels and touchpoints. It integrates various communication channels, such as websites, mobile apps, social media, email, phone, and physical stores, into a c...
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Introduction to RWFM
Introduction RWFM is a comprehensive R package that has been designed and developed to cater to the workforce management and call center analytics requirements. It offers a range of powerful tools and functions that can be utilized for a wide array of tasks related to managing call centers, staffing, and forecasting. One of the core functionali...
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Automating boring WFM tasks
## Warning: package 'reticulate' was built under R version 4.1.3 Introduction Workforce Management encompasses a large scope of roles. Data gathering and analysis, forecasting, capacity planning, scheduling and real-time analysis are the most common ones among them. While whether or not you like the roles depends on personal taste and experie...
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Clustering Countries Using Descriptive Variables
Clustering countries based on descriptive variables Clustering is grouping a set of objects in such a way that objects in the same cluster are more similar (in some sense) to each other than to those in other groups. CLustering has many applications such as market research, pattern recognition, data analysis, and image processing. In this project...
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Eigen faces of my 3 dogs
Eigenfaces Eigenface is a set of eigen vectors usually used in computer vision problem of human face recognition.The eigenvectors are derived from the covariance matrix of the probability distribution over the high-dimensional vector space of face images. The eigenfaces when combined construct the covariance matrix. This means that we can reduce ...
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Associations rule mining
Association rules mining Association rules mining aims to observe frequently occurring patterns, correlations, or associations from datasets. It is a procedure of analyzing data and looking for frequent if/then patterns to discover underlying relationships. The relationships are not causative, only associative. Market Basket Analysis is the first...
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Classification of Census Income
Introduction The Problem statement Classification is a supervised machine learning algorithm of assigning a class label based on known examples. There are many different types of classification tasks requiring machine learning approaches such as those to be discussed below. In this document, we will try to predict a person’s income based on cen...
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Impact of development indicators on the growth rate
Introduction Our research is based on different factors that are believed have an impact on GDP growth rate in developing countries such as the internet cover, corruption index, openness, women rights, electricity or power index, existence of armed conflicts, and percentage of paved roads. In this research, we are going to test the following hypo...
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Predicting the net hourly electrical energy output of a combined cycle power plant
Introduction In this article we will predict the net hourly electrical energy output of a combined cycle power plant using four different regression models. The dataset contains 36733 instances of 11 sensor measures aggregated over one hour (by means of average or sum) from a gas turbine located in Turkey’s north western region for the purpose ...
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Classification of Census Income Part2
Introduction The Problem statement Classification is a supervised machine learning algorithm of assigning a class label based on known examples. There are many different types of classification tasks requiring machine learning approaches such as those to be discussed below. In this document, we will try to predict a person’s income based on cen...
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