Data Modeling

Feature selection methods in Model Building When we deal with Big Data then there is a high chance of having a plethora of columns and rows in our dataset. Selecting a group of columns is the crux of ...

What do you mean when I say “The model has high accuracy in Training dataset but low in testing dataset"Data Science model interview question Answer by Swapnil

Missing Value Treatment by mean, mode, median, and KNN ImputationOne of the most important technique in any Data Science model is to replace missing values with some numbers/values.We can't afford to remove the rows with missing values as ...