How Important is Customer Lifetime Value?
This is the third article of article series Getting started with the top eCommerce use cases. Customer Lifetime Value Many researches have shown that cost for acquiring a new customer […]
Data Scientist with 4+ years of experience implementing advanced data-driven solutions to complex business
problems. Grounded knowledge of building classic machine learning algorithms in R and Python, inferential
statistics and modern development tools ( Docker, etc.).
This is the third article of article series Getting started with the top eCommerce use cases. Customer Lifetime Value Many researches have shown that cost for acquiring a new customer […]
This is the second article of article series Getting started with the top eCommerce use cases. If you are interested in reading the first article you can find it here. […]
This is the first article of article series Getting started with the top eCommerce use cases. What is Multi-touch attribution? Customers shopping behavior has changed drastically when it comes to […]
Nowadays, almost all the projects in eCommerce companies are data-dependent and everyone wants to leverage data science techniques to mine as much information as they can from that data. From […]
Simple Linear Regression Being in the field of data science, we all are familiar with at least some of the measures shown in figure 1.1 (generated in python using statsmodels). […]
Introduced in 1996, the cross-industry standard process for data mining (CRISP-DM) became the most common procedure for all data mining projects. This method consists of six phases: Business understanding, Data […]
The process in the semiconductor industry is highly complicated and is normally under consistent observation via the monitoring of the signals coming from several sensors. Thus, it is important for […]
One of the applications of text mining is sentiment analysis. Most of the data is getting generated in textual format and in the past few years, people are talking more […]