Seyong Ryoo

In the previous post, we modeled the relationship between the weight of bream fish and several characteristics using the least squares method. However, we also saw that some variables were highly correlated with each other (see figure below). As I mentioned in the first post, multicollinearity can cause problems regarding... [Read More]

In this post, we want to estimate the weight of a species of fish called bream as done in the previous one. But, this time we use not only height but also four more characteristics of the fish. For more details about the data, please refer to Kaggle or my... [Read More]

In this post, we want to estimate the weight of a species of fish called bream. This is done through a simple linear regression model using their height. A more detailed description of the data can be found on Kaggle. [Read More]

Exploratory Data Analysis (EDA) is a critical phase in the journey of understanding and extracting insights from any dataset. In this context, we embark on an exploratory journey into the fascinating realm of fish market data. The dataset at our disposal encapsulates a wealth of information about various fish species,... [Read More]