Classifier Algorithm

Random Picks

• Feature Scaling: Feature scaling is a technique used in data preprocessing to standardize the range of independent variables or features of a dataset. It is done to ensure that all the features contribute equally to the analysis and to prevent features with ... Read More >>
• Congestion: In Data Science, congestion refers to the situation where the amount of data being transmitted through a network exceeds its capacity to handle it, resulting in a slowdown or complete halt of data transfer. Congestion can occur due to vario ... Read More >>
• Vanishing Gradient Problem: The vanishing gradient problem is a common issue in deep neural networks where the gradients of the loss function become extremely small as they propagate backwards through the network, making it difficult for the model to learn and update ... Read More >>