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What is Data Visualization? Data visualization translates complex data sets into visual formats that are easier for the human brain to comprehend. This can include a variety of visual tools such as: Charts : Bar charts, line charts, pie charts, etc. Graphs : Scatter plots, histograms, etc. Maps : Geographic maps, heat maps, etc. Dashboards : Interactive platforms that combine multiple visualizations. The primary goal of data visualization is to make data more accessible and easier to interpret, allowing users to identify patterns, trends, and outliers quickly. Types of Data for Visualization Data visualization is categorized into the following categories: Numerical Data Categorical Data Let’s understand the visualization of data via a diagram with its all categories. Why is Data Visualization Important? Let’s take an example. Suppose you compile visu...

Block chain Technology

What is Blockchain? A Blockchain is a digital ledger of transactions that is secure, immutable, and decentralized. It consists of a chain of blocks and each block contains a secure group of transactions of money, bitcoins, contracts, property, etc. without any need for third-party middle-man such as central authorities, banks, government, etc. Transactions are verified by a network of computers. Once a block of information is created in the chain, it can’t be changed or deleted. This makes the blockchain very secure and trustworthy. It is a software protocol, it never runs without the internet. Why Do We Use Blockchain? There is no need for centralized authorities to verify our transactions. Blockchain makes it decentralized and secure. The security is maintained by cryptographic processes performed by p2p users, through the process called Data mining. Some of its important features are: Secure Transparent Tamper-proof Peer-to-peer transaction Bitcoin is the most popular cryptocurrency...

Lecture Videos (Click the link for Videos)

Normalization Problems Pearson Correlation Co-efficient Finding ROC Finding MSE Multiple Linear Regression KNN for Classification and Regression Task CART Algorithm

Software engineering

Use Case Diagram for Bank ATM System Automated Teller Machine (ATM) also known as ABM (Automated Banking Machine) is a banking system. This banking system allows customers or users to have access to financial transactions. These transactions can be done in public space without any need for a clerk, cashier, or bank teller. Working and description of the ATM can be explained with the help of the Use Case Diagram . Some scenarios of the system are as follows. Step-1: Customer Authentication 1. The user is authenticated when enters the plastic ATM card in a Bank ATM. 2. Then enters the user name and PIN (Personal Identification Number). 3. For every ATM transaction, a Customer Authentication use case is required and essential. So, it is shown as include relationship. Step-2: Bank ATM System 1. User checks the bank balance as well as also demands the mini statement about the bank balance if they want. 2. Then the user withdraws the money as per their ...

Software Development Methodologies

Software Engineering by pressman Module 1 PPT OOAD by Ali Brahmi Software engineering current practice Module 2 PPT Module 4 PPT

Generative AI using python

Module1 Generative AI (GenAI) is the latest subtype of AI that broadly describes Machine Learning (ML) models or algorithms. Difference Between Traditional AI and Generative AI Traditional AI Generative AI AI is used to create intelligent systems that can perform those tasks which generally require human intelligence. It generates new text, audio, video, or any other type of content by learning patterns from existing training data. The purpose of AI algorithms or models are to mimic human intelligence across wide range of applications. The purpose of generative AI algorithms or models is to generate new data having similar characteristics as data from the original dataset. Overview of Generative Adversarial Network GAN stands for Generative Adversarial Network, and it is a class of artificial intelligence algorithms used in machine learning and deep learning for generating dat...