In a previous article, I got quite satisfactory results using various machine learning regression algorithms in estimating the compressive strength values of concrete using 8 different parameters. I wrote a follow-up to this article and applied deep learning to the same data set and compared the performances. In this article…

This article is a third of a series and I will cover the parts of probability that are related to data science. Statistical inference is defined as the second major branch of statistics and very important for the data scientist. …

This article is a second of a series and I will cover the parts of probability that are related to data science. Probability is very important for the data scientist and I will try to answer the following questions: · Basic Concepts of Probability, · Probability Distributions. You may find…

In 1970s, John Tukey produced a new definition for statistics; instead of calling it a pure mathematical science, he suggested that deriving hypotheses from data was the future. It was a reform of statistics and announcement of an as-yet unrecognized science. …

This is a follow-up to my previous article: Comparison of Regression Analysis Algorithms. I applied Deep Learning and compared the results with the performances of the Machine Learning algorithms in the above-mentioned article. In the previous article, I got quite satisfactory results using various machine learning regression algorithms in estimating…

Gursev Pirge and Alp Pirge This article involves the use of Natural Language Processing (NLP), with the target of analyzing the causes of the F-16 fighter aircraft accidents and incidents between 1979 and 2019 in the US Air Force (USAF). We used the data set provided by F-16.net, which gave…

This article involves the use of Natural Language Processing (NLP), with the target of analyzing the causes of airplane accidents between 1969 and 2009. We used the data set provided by data.world, which is a detailed database about the airplane crashes and gives the opportunity to make an in-depth analysis…

This article comprises the application and comparison of supervised multi-class classification algorithms to a dataset, which involves the chemical compositions (features) and types (four major types — target) of stainless steels. The dataset is quite small in numbers, but very accurate. Stainless steel alloy datasets are commonly limited in size…

Regression analysis may be defined as a type of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable(s) (predictor). This technique is used for forecasting, time series modelling and finding the cause-effect relationship between the variables. Regression analysis may be considered a reliable method of…