# Synthetic Data

What is Synthetic Data : Synthetic data is artificially generated data that is designed to mimic real-world data. It is often used for a variety of purposes, including testing machine learning models, augmenting limited data sets, and protecting the privacy of sensitive data. Here are two examples of how synthetic data can be used: Testing […]

# SVM

What is SVM : Support Vector Machines (SVMs) are a type of supervised machine learning algorithm that can be used for classification or regression tasks. The goal of an SVM is to find the hyperplane in a high-dimensional space that maximally separates the different classes. To better understand how SVMs work, let’s consider two examples: […]

# Supervised Learning

What is Supervised Learning : Supervised learning is a type of machine learning where a model is trained on labeled data, meaning the data consists of both input features and corresponding correct outputs. The model is then able to make predictions on new, unseen data based on the patterns it has learned from the training […]

# Stochastic

What is Stochastic : Stochastic is a term that refers to processes that involve randomness or uncertainty. In other words, a stochastic process is one in which the outcome is not completely determined and is subject to some degree of randomness. There are many different examples of stochastic processes in various fields, including mathematics, finance, […]

# Standard Deviation

What is Standard Deviation : Standard deviation is a statistical measure that quantifies the amount of variation or dispersion of a set of data. It is an important tool in statistical analysis as it gives an indication of how spread out the data is and how much the individual values deviate from the mean. To […]

# SQL

What is SQL : SQL, or Structured Query Language, is a programming language designed specifically for managing and manipulating data stored in relational database management systems (RDBMS). It is used to create, modify, and query databases, and is commonly used in a variety of applications and industries, including finance, healthcare, and e-commerce. Here are two […]

# spaCy

What is spaCy : SpaCy is a natural language processing (NLP) library developed in Python. It is designed to help developers and data scientists easily analyze and understand large amounts of text data. One example of how spaCy can be used is in sentiment analysis. This involves determining the overall sentiment of a piece of […]

# Software as a Service(SaaS)

What is Software as a service(SaaS) : Software as a service, or SaaS, refers to a software delivery model in which a software application is hosted by a third-party provider and made available to customers over the internet. Instead of purchasing and installing the software on their own systems, customers access the software through a […]

# Sklearn

What is Sklearn : Sklearn, also known as scikit-learn, is a popular machine learning library in Python that provides a variety of tools and algorithms for data mining and analysis. It is designed to be easy to use and to integrate with other scientific libraries such as NumPy and pandas. One example of a tool […]

# Skewness

What is Skewness : Skewness is a measure of the asymmetry of a distribution. It is a statistical measure that describes how the values of a variable are distributed around the mean, or expected value, of the variable. A distribution is said to be skewed if the values of the variable are not evenly distributed […]