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Regression analysis

What is Regression analysis : Regression analysis is a statistical technique used to examine the relationship between two or more variables. It is often used to predict the value of one variable (the dependent variable) based on the value of another variable (the independent variable). For example, consider a company that wants to understand the […]

Regression

Regression : Regression is a statistical technique that is used to predict a continuous outcome based on one or more predictor variables. It is a widely used tool in many fields, including economics, finance, and marketing, to name a few. To understand regression, it is helpful to start with an example. Suppose you are a […]

Recall

Recall : Recall is a metric used to evaluate the performance of a machine learning model, specifically in classification tasks. It is defined as the number of true positive predictions made by the model, divided by the total number of positive instances in the test set. In other words, it measures the proportion of actual […]

Random walk

Random walk : A random walk is a mathematical concept that describes the movement of an object or a series of events as a sequence of random steps. It is often used to model the behavior of financial markets, where prices tend to move randomly over time, influenced by various factors such as economic conditions, […]

Random variable

Random variable : A random variable is a variable that takes on different values depending on the outcome of a random event. In other words, it is a variable whose value is determined by chance. There are two main types of random variables: discrete and continuous. Discrete Random Variable : A discrete random variable is […]

Random Forest

Random Forest : Random Forest is a machine learning algorithm that belongs to the ensemble learning method. It is used for classification and regression problems. It creates a forest of decision trees, where each tree is trained on a different set of data and makes a prediction. The final prediction is made by taking the […]

R

R : R is a programming language and software environment for statistical computing and graphics. It was developed in the early 1990s by statisticians at the University of Auckland in New Zealand and is now widely used in academia and industry for data analysis and visualization. One of the main strengths of R is its […]

Quartile

Quartile : Quartiles are statistical measures that divide a dataset into four equal parts, or quarters. They are used to identify the distribution of values within a dataset and to compare datasets to one another. There are three types of quartiles: the lower quartile (also known as the first quartile or Q1), the median (also […]

PyTorch

PyTorch : PyTorch is a popular open-source machine learning framework that is widely used for training deep learning models. It is developed by Facebook’s AI Research team and is primarily used for natural language processing (NLP) and computer vision tasks. PyTorch is known for its simplicity, flexibility, and ease of use, making it a popular […]

Python

Python : Python is a high-level, interpreted programming language that is widely used for web development, data analysis, artificial intelligence, and scientific computing. It is known for its simplicity, readability, and flexibility, as well as its large and active community of developers. One of the key features of Python is its use of indentation to […]