Ways to be Distinguished in the Age of Data Science Boom — Suppose you are the hiring manager for a data scientist position, and interviewing a prospective candidate. The candidate starts to express the skills hoping they are enough for the position and the best card among these skills is MS Excel capability. What would you think about this candidate? I suppose…

Create your own content-based recommendation engine with the K-Means algorithm. — Introduction I think to bring together interesting datasets with handy machine learning methodologies helps forming a boosting effect on learning. In this way, users can feel the data better and get a clear opinion on usage of practical machine learning implementations. …

We all appreciate the value of AI and machine learning, but what about the privacy side? — Do you know anyone who uses Google Glass in his daily life recently? Maybe a few years later this question will evolve into a new one asking who remembers it. …

A simple way of relationship analysis using some famous Twitter accounts. — Social media analysis is one of the hot topics of data science. People like these analyses and interest them because everyone is familiar with this world. Most of our time goes to Twitter, Instagram, Facebook, and some other social media apps. As a data enthusiast, this topic caught my attention…

All required methods for comprehensive data preprocessing with Pandas examples. — Introduction What is a feature and why we need the engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data comprise features, which are usually in the form of structured columns. Algorithms require features with some specific characteristic to work properly. Here, the…

Imbalanced data problems in binary prediction models and a simple but effective way to take care of them with Python and R. — Imbalanced Data, the Root of all Evil The imbalanced data is simply referred to as a situation that one of the classes forms a high majority and dominates other classes. For machine learning, a skewed distribution of target values might cause an accuracy bias in algorithms and affect the performance of models negatively. …

Comparison of the average player ratings based on the nationalities on the world map. — R is a powerful language especially for data visualization thanks to the ggplot2 library. When interesting datasets such as player ratings of the popular football game FIFA 2019 are utilized with these tools, outstanding results might occur. …