NumPy is an open-source Python library used for scientific computing and data analysis. It provides powerful and efficient tools for manipulating and analyzing numerical data. It is most commonly used for its array objects and functions, which are used to create and manipulate arrays of any size and shape. NumPy also provides a wide
Description: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. It is a combination of mathematics, programming, data engineering, and subject matter expertise, used to analyze and interpret data for decision-making and problem-solving. It
Description: Time series analysis and forecasting is an important area of statistics that deals with analyzing and forecasting the future behaviour of time series data. Time series data is data that is collected over a period of time, such as daily stock prices, monthly sales figures, or yearly weather records. Time series analysis
Description: Customer segmentation is a process of dividing customers into groups based on certain characteristics, such as age, gender, location, interests, and more. It helps businesses better understand their customers and create marketing campaigns that target specific segments more effectively. By segmenting customers, companies can tailor their offerings and improve their customer service,
Description: Multiple linear regression is a statistical method used to analyze the linear relationship between two or more independent variables (predictors) and one dependent variable (outcome). It is used to predict the value of the dependent variable (outcome) based on the values of the independent variables (predictors). This type of regression is sometimes referred
Description:- Face detection in Python is a technique used in computer vision to locate and identify human faces in digital images. It is typically used in applications such as facial recognition, security and surveillance, digital photography, and social media. Face detection algorithms analyze an image or video frame and detect any faces present in
Predict House Prices with Linear Regression with Python. Data science and data analytics can be used to help real estate professionals gain insights into the real estate market and make more informed decisions. Data science can help identify trends in the market, analyze consumer behaviour, and predict future market movements. Data analytics can be
Supervised Learning:- Supervised learning is a type of machine learning algorithm that uses labelled data to train a model to make accurate predictions. Linear regression is a supervised learning algorithm that is used to predict continuous values. It works by fitting a linear equation to a dataset of inputs and outputs. The linear