Useful tips for everyday
How does validation work in machine learning? Validation techniques in machine learning are used to get the error rate of the ML model, which can…
What are the evaluation metrics? Evaluation metrics are used to measure the quality of the statistical or machine learning model. Evaluating machine learning models or…
What is the best deep learning algorithm for image classification? 1. Very Deep Convolutional Networks for Large-Scale Image Recognition(VGG-16) The VGG-16 is one of the…
How do you handle sparse feature? Methods for dealing with sparse features Removing features from the model. Sparse features can introduce noise, which the model…
How is Siamese network implemented in keras? Implementing the siamese network architecture with Keras and TensorFlow Instantiate our sister networks. Create a Lambda layer that…
What is the difference between LabelEncoder and Get_dummies? Using the numbers from LabelEncoder doesn’t give any real meaning to the converted data (i.e. the converted…
How do you import a random forest regression? Below is a step by step sample implementation of Rando Forest Regression. Step 1 : Import the…
What is the loss function used for logistic regression? Log Loss is the loss function for logistic regression. Logistic regression is widely used by many…
How do you train a Siamese network with Triplet Loss? you can train the network by taking an anchor image and comparing it with both…
Is AUC a good metric for Imbalanced Data? Although generally effective, the ROC Curve and ROC AUC can be optimistic under a severe class imbalance,…