# Z-Test

What is a Z-Test : A Z-Test is a statistical test used to determine if there is a significant difference between the mean of a sample and a known population mean. It is used to test the hypothesis that the sample mean is different from the population mean. Example 1: A company wants to determine […]

# Z-Score

What is Z-Score : A z-score, also known as a standard score, is a measure of how many standard deviations a particular data point is from the mean of a set of data. It is used to compare how different a particular data point is from the mean of the data set and to determine […]

# XGBoost

What is XGBoost : XGBoost, also known as Extreme Gradient Boosting, is a powerful and popular machine learning algorithm that is used for classification and regression tasks. It is an implementation of gradient boosting, which is a technique that combines the predictions of multiple weak learners (simple models) to create a more powerful model. XGBoost […]

# Web Scraping

What is Web Scraping : Web scraping is the process of extracting data from a website. This can be done manually, but it is often done with the use of specialized software or tools. Web scraping is used in a variety of industries, including retail, finance, and marketing. It allows businesses to gather large amounts […]

# Variance

What is Variance : Variance is a measure of how much a set of numbers or observations differ from the mean or average of that set. It is a measure of dispersion or spread of the data and is an important statistical concept in understanding and analyzing data sets. One example of variance can be […]

# Unsupervised Learning

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 […]

# Unstructured Data

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 […]

# Univariate Modeling

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 […]

# Underfitting

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 […]

# True Positive (TP)

What is True Positive (TP) : True Positive (TP) refers to a situation where a positive result is accurately identified. In other words, the test correctly identifies the presence of a specific condition or trait. TP can be used in a variety of contexts, including medical tests, criminal investigations, and marketing research. Here are two […]