SedefozcanFeature Selection in Machine Learning: An Overview of MethodsIn this article, I will give an overview of the different types of feature selection strategies. Feature selection algorithms can be…Nov 25, 2022Nov 25, 2022
SedefozcanFeature Selection in Machine Learning: MotivationThis short article is the first one of a series that explains feature selection techniques. I have started with a friendly introduction and…Nov 24, 2022Nov 24, 2022
SedefozcanHow do machines learn?This is a quick, brief introduction for people who want to get the idea behind the machine learning algorithms. I don’t aim to give any…Aug 10, 2022Aug 10, 2022
SedefozcanFeature ExtractionFeature extraction is producing new variables or features from raw data. The phrase “feature extraction” is sometimes used instead of…Jul 31, 2022Jul 31, 2022
SedefozcanFeature Engineering-Data Pre-processing: Missing ValuesMissing values occur when no data value is stored for the variable in an observation.Jul 30, 2022Jul 30, 2022
SedefozcanFeature Engineering & Data Pre-Processing: Outliers“If your data is bad, your machine learning tools are useless”Jul 30, 2022Jul 30, 2022
SedefozcanContent-Based RecommendationIt makes suggestions based on similarities of the meta-information of the product. The meta-information of a product may be the overview of…Jul 29, 2022Jul 29, 2022
SedefozcanRecommendation systemsRecommendation systems are algorithms that aim to suggest relevant items to users. There is a lot of content but users pay attention to a…Jul 29, 2022Jul 29, 2022
SedefozcanSome Statistical Notions and The Power of A/B TestingA/B Testing is one of the most common-used methods in data science. “A” represents a group or a property, and “B” represents a different…Jul 21, 2022Jul 21, 2022