Hi,
After doing and EDA … ¿it’s a good practice to get rid of the correlated features before feeding in a fully connected NN? … or ¿should I let the NN try to figure out the relationships between the features, being present those correlated? …
EDA stands for Exploratory Data Analysis

  
      en.wikipedia.org
  
  
    

Exploratory data analysis 1

In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Exploratory data analysis was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is dif...

  
  
    
    
  
  


Best regards