Entries by Aakash Chugh

Cross-industry standard process for data mining

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 understanding, Data preparation, Modeling, Evaluation and Deployment (see Figure 1). It is being used not just as a reference manual but as a user guide […]

Predictive maintenance in Semiconductor Industry: Part 1

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 the organization to detect the fault in the sensor as quickly as possible. There are existing traditional statistical based techniques however modern semiconductor industries have […]

Sentiment Analysis using Python

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 about NLP. Improvement is a continuous process and many product based companies leverage these text mining techniques to examine the sentiments of the customers to […]