Useful tips for everyday
Can random forest handle unbalanced data? Like bagging, random forest involves selecting bootstrap samples from the training dataset and fitting a decision tree on each.…
How do you know which classification model is better? How to Best Evaluate a Classification Model Classification accuracy. Confusion matrix. Precision and recall. F1 score.…
Does convolution layer have bias? Each filter in a convolution layer produces one and only one output channel, and they do it like so: The…
How do you forecast sales based on past sales? Historical forecasting: This method uses historical data (results from previous sales cycles) and sales velocity (the…
What do you understand by retraining? Retraining or refresher training is the process of learning a new or the same old skill or trade for…
How do I count the number of specific values in a Pandas column? To count the number of occurences in e.g. a column in a…
What are evaluation metrics for classification? For classification problems, metrics involve comparing the expected class label to the predicted class label or interpreting the predicted…
What is the purpose of Naive Bayes classifier? Naive Bayes uses a similar method to predict the probability of different class based on various attributes.…
How do you interpret SVM results? 1) Recall that in linear SVM, the result is a hyperplane that separates the classes as best as possible.…
What is average word2vec? Average Word Vectors – Generate Document / Paragraph / Sentence Embeddings. Using the strength of word vectors and applying it to…