What is Unsupervised Learning : Unsupervised learning is a type of machine learning where the algorithms are not given any labeled data or specific instructions on what to learn. Instead, the algorithms are given a large dataset and are left to discover patterns and relationships within the data on their own. There are two main […]

What is Unstructured Data : Unstructured data refers to data that does not have a predetermined format or structure. It is typically unorganized and does not fit into traditional database models, making it difficult to process and analyze using traditional methods. There are many examples of unstructured data, including: Social media posts: Social media platforms […]

What is Univariate Modeling : Univariate modeling is a statistical technique that involves analyzing and modeling a single variable or feature. This type of modeling is often used when the goal is to understand the relationships between a particular variable and a response or outcome. One example of univariate modeling is linear regression. In this […]

What is Underfitting : Underfitting occurs when a machine learning model is not able to capture the underlying trend in the data. It can happen for a variety of reasons, including having a model that is too simple for the data, or not having enough data to train the model. Underfitting can lead to poor […]