Articles

Background Last week, I spoke at the Swiss Mobile Association. The event was held at one of the oldest  cross-functional research institutes Gottlieb Duttweiler Institute… Read More »The applications of Artificial Intelligence (AI) in the Telecoms industry

Here are a few challenges for the mathematically inclined – most data scientists are. This is just fun problems if you have some time to… Read More »Seasons in Binary Star Planetary Systems

Analytics has taken world by storm & It it the powerhouse for all the digital transformation happening in every industry. Today everybody is generating tons… Read More »A to Z of Analytics

This article was contributed by Statistical Future. Whether you want it to or not, credit and its availability plays a major role in everyone’s life,… Read More »Ranking All 50 States by Average Credit Score of its Citizens

In this continuation of “Hybrid content-based and collaborative filtering recommendations wi…” I will describe the application of the {ordinal} clm() function to test a new,… Read More »Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (2): Recommendation as discrete choice

I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously)… Read More »Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

Padma Shri (also Padmashree) is the fourth highest civilian award in the Republic of India, after the Bharat Ratna, the Padma Vibhushan and the Padma… Read More »How Python & Tableau made an easy Data Analysis of Padma Shri Awards

Overview In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred… Read More »Customer Churn – Logistic Regression with R