Question

What are the ways to avoid overfitting issues in data science?

 By adding a penalty for every data decreasing the complexity

 By testing the model with one-third of the training data itself

 By using the re-sampling techniques to estimate model accuracy

 All of the above

Answer 1

HEY MATE.....!

here is your answer...,,,

What are the ways to avoid overfitting issues in data science?
=>By using the re-sampling techniques to estimate model accuracy

hopes help.

$\huge{\bold{\blue{\:thanks}}}$

Answer 2

Answer:

Explanation:

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data.