What is normalization? Normalization is a series of steps that convert a flat or poorly structured table into multiple related tables, following standard normal forms (1NF to 3NF and beyond). ...

Summary Regression algorithm that applies regularization and feature selection to deal with overfitted1 data. The method uses L1 regularization2. Inputs Numerical Categorical Preprocessin...

This is the schedule for the current and future data analysis projects. This page is constantly updated on the progress of the projects. Projects are calculated on hours end-to-end worked for ea...

Purpose Effective database design is crucial for building reliable, efficient, and scalable data systems. It involves steps like requirements analysis, conceptual and logical modeling, normalizati...

Summary Recency Frequency Monetary analysis is a marketing technique used to analyze and segment customers based on three key factors: Recency, Frequency, and Monetary. This model helps business...

Objective Business problem Approach Key findings Recommendations Information about the dataset. This is a retailer of scale models of classic cars. The database contains typical busi...

Techniques and Methods in How to Detect Outliers. Anomalies and outliers generate big issues when training machine learning algorithms or when we are applying statistical techniques. Outliers are ...

Parametric and Non-parametric Models in Machine Learning Machine learning can be briefed as learning a function (f) that maps input variables (X) and the following results are given in output vari...

Summary Business and profitability. The theory recognized that there are many type of limitations that can face a company. Factors may be internal or external and restrictions are either flexible ...

Sumaary Market segmentatino involves dividing the market target into small groups and more homegeneous who share the same characteristics, needs, or behaviors. This process allow business to tailor...