Useful tips for everyday
Is random forest affected by class imbalance? The random forest model is built on decision trees, and decision trees are sensitive to class imbalance. Each…
What is the learning rate in GBM? GBM parameters The learning rate corresponds to how quickly the error is corrected from each tree to the…
What is the significance of image resolution for deep nets? Tracking convolutional neural network performance as a function of image resolution allows insight into how…
Can KNN be used for recommendation? Modeling. Collaborative filtering systems use the actions of users to recommend other movies. To implement an item based collaborative…
How do you access cells in a data frame? iloc to Get Value From a Cell of a Pandas Dataframe First, we need to access…
Which is the feature scaling technique that scales the data set from 0 to 1 range? Normalization is a scaling technique in which values are…
Why does XGBoost give different results? This result is due to random variables inside the model, if you want to have the same result each…
Is Target encoding data leakage? The fact that we are encoding the feature based on target classes may lead to data leakage, rendering the feature…
How do you combine data sets? To join two data frames (datasets) vertically, use the rbind function. The two data frames must have the same…
Should I scale before or after train test split? Normalizing After Splitting, BUT Before Cross Validation After splitting the data into train, validation, and test…