Data Science Interview Preparation

Transfer Learning Introduction In the world of deep learning, training large models from scratch can be time-consuming, resource-intensive, and sometimes…

What is Recurrent Neural Network (RNN)? Introduction When it comes to dealing with sequential data, such as time series, natural…

What is Convolutional Neural Network (CNN)? Introduction Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision, powering applications…

What is Backpropagation ? Introduction Backpropagation is the beating heart of modern neural networks, one of the key algorithms that…

What is Neural Network ? Introduction A neural network is a computational model inspired by the human brain, designed to…

What is Ensemble Learning ? Introduction Hello, machine learning enthusiasts! If you’ve been exploring different ways to improve the accuracy…

What is Boosting in Machine Learning ? Introduction Hey there, machine learning enthusiasts! If you’ve been diving into the world…

What is Bagging in Machine Learning ? Introduction Hey there, data enthusiasts! Today, we’re going to dive into a crucial…

What is Markov Decision Process (MDP) ? Introduction In the world of Artificial Intelligence (AI) and Reinforcement Learning (RL), the…

What is Q Learning? Introduction In the world of Reinforcement Learning (RL), one of the most widely used and fundamental…

What is Reinforcement Learning? Introduction In recent years, Reinforcement Learning (RL) has emerged as one of the most exciting and…

What is Data Aggregation ? Introduction   In the world of data science, managing large datasets is a daily task.…

What is Data Normalization ? Introduction Data is the backbone of almost every modern business and research initiative. However, raw…

What is a Dataframe in Python Introduction When it comes to working with data in Python, one of the most…