Tiya VajHow CNN and LSTM differently capture a sentence?To illustrate how Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTMs) capture different aspects of a sentence…1d ago1d ago

Tiya VajHow curse of dimensionality affects models?The curse of dimensionality can significantly impact machine learning models in various ways, leading to challenges that can affect…1d ago1d ago

Tiya VajHigh variance and Low variance in dataUnderstanding High Variance vs. Low Variance in Data1d ago1d ago

Tiya VajWhy Text Datasets Often Have More Features than Samples?In the context of text data and machine learning, it’s important to understand what features** and samples (or instances) are. Here’s a…1d ago1d ago

Tiya VajHow pre-trained model can reduce dimensionality in text?Pre-trained models, particularly those based on neural networks, can represent high-dimensional text data in lower-dimensional spaces while…1d ago1d ago

Tiya VajDropout means droping some nodes?Yes, in the context of neural networks, “dropout” refers to randomly “dropping” (i.e., turning off) a certain percentage of neurons or…2d ago2d ago

Tiya VajMulticollinearityHere’s a detailed explanation of multicollinearity and its effects on linear regression:Sep 27Sep 27

Tiya VajLinear regression can only be used for linear relationships?The misconception that linear regression can only be used for linear relationships stems from its name and basic formulation. However…Sep 27Sep 27

Tiya VajPotential Data Science Project Topics for Amazon1. **Optimizing Amazon Product Recommendations** Develop a recommendation system that personalizes product suggestions for users based…Sep 27Sep 27