Useful tips for everyday
Which one is better random forest or XGBoost? The model tuning in Random Forest is much easier than in case of XGBoost. In RF we…
How does ridge regression avoid overfitting? L2 Ridge Regression It is a Regularization Method to reduce Overfitting. We try to use a trend line that…
What is difference between SVM and SVC? The difference between them is that LinearSVC implemented in terms of liblinear while SVC is implemented in libsvm.…
How do you measure similarity between two images? The metric used to measure the similarity between images is probably the most important thing in building…
Is it better to major in data science or Computer Science? Computer science is the better path for people fascinated by software, hardware, and pushing…
How are predict and Proba used in gridsearchcv? GridSearchCV implements a “fit” and a “score” method. It also implements “predict”, “predict_proba”, “decision_function”, “transform” and “inverse_transform”…
Is cross validation used in practice? Cross-validation is primarily used in applied machine learning to estimate the skill of a machine learning model on unseen…
Why would a researcher use sampling without replacement? Sampling without Replacement is a way to figure out probability without replacement. This dramatically changes the odds…
Is feature selection necessary? Feature selection is the process of reducing the number of input variables when developing a predictive model. It is desirable to…
How many standard deviations is an anomaly? Note that the reference distributions show whether each data point is within one or two standard deviations from…