Useful tips for everyday
Can Tensorflow do clustering? In data science, cluster analysis (or clustering) is an unsupervised-learning method that can help to understand the nature of data by…
Why do we need cross-validation when working with a lasso model? LASSO is, however, required to solve another problem of determining the strength λ of…
What are interactions in machine learning? 1 Feature Interaction? If a machine learning model makes a prediction based on two features, we can decompose the…
What is TF IDF and cosine similarity? TF-IDF will give you a representation for a given term in a document. Cosine similarity will give you…
What is overfitting in learning? Overfitting happens when a model learns the detail and noise in the training data to the extent that it negatively…
Does linear regression need cross validation? (Cross-validation in the context of linear regression is also useful in that it can be used to select an…
Is it bad to have correlated features? In perspective of storing data in databases, storing correlated features is somehow similar to storing redundant information which…
Can KNN learn non linear decision surface? Because the distance function used to find the k nearest neighbors is not linear, so it usually won’t…
What is L1 ratio in elastic net? This is called the ElasticNet mixing parameter. Its range is 0 < = l1_ratio < = 1. If…
What is the return of sizeof? The ‘sizeof’ operator returns size of a pointer, not of an array, when the array was passed by value…