Introduction

Introduction

Have you ever faced an issue where you have such a small sample for the positive class in your dataset that the model is unable to learn? Such datasets are a pretty common occurrence and are called as an imbalanced dataset. In this week’s post, I am going to briefly…

Introduction

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network (RNN) capable of learning order dependence in sequence prediction problems. RNNs remember the inputs and the context as they have internal memory, enabling users to have more flexibility in the types of data that models or networks can…

Helen Pham

Data Scientist with finance and client service background

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