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Techniques for tuning classification models with imbalanced dataset
When working on classification models, we usually found that our data have a difference number of members among each classes, some...
GridSearchCV versus RandomizedSearchCV
In any machine learning problem, we usually need to perform hyperparameter optimization to tune parameters in our model. Even though...
Precision-Recall curve versus ROC curve for imbalanced datasets
In Binary Classification, we usually use the ROC curve to evaluate performance of our model, but sometimes it will be misleading...
Neural Network and its Applications
Neural network is one prominent machine learning algorithm nowadays, it has been widely used in many applications such as image detection...
Common Mistakes in SQL
As a data scientist or a data analyst, we usually need to work with SQL when we need to pull data from SQL servers or to combine and...
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