How do we pre-process the data before balancing it in the context of building a recurrent neural network for predicting cryptocurrency price movements?
Sunday, 13 August 2023
by EITCA Academy
Pre-processing data is a crucial step in building a recurrent neural network (RNN) for predicting cryptocurrency price movements. It involves transforming the raw input data into a suitable format that can be effectively utilized by the RNN model. In the context of balancing RNN sequence data, there are several important pre-processing techniques that can be
How does the distribution of classes in the dataset impact the accuracy of the K nearest neighbors algorithm?
Monday, 07 August 2023
by EITCA Academy
The distribution of classes in a dataset can have a significant impact on the accuracy of the K nearest neighbors (KNN) algorithm. KNN is a popular machine learning algorithm used for classification tasks, where the goal is to assign a label to a given input based on its similarity to other examples in the dataset.