What is graph data?

Graph data is known as connected data science, where the relationships and connections are between the data points to make efficient and accurate predictions.

How graph data is stored? and how it is represented?

Graph data is generally reserved in storage files, where each file contains data known as nodes, associations, labels, and properties, for a certain piece of the graph. A data graph is a graphical representation of knowledge and wisdom through which we can easily portray relationships and patterns in an instant.

How to visualize graph data and devise conclusions/results?

While studying the graph…

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing, and modeling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for the Python programming language.

Installing Orange 3 library using pip

# Install Orange
!pip install orange3
import Orange


Discretization is the process through which we can transform continuous variables, models, or functions into a discrete form. We do this by creating a set of contiguous intervals (or bins) that go across the range of our desired variable/model/function.

heartDisease = Orange.data.Table('https://raw.githubusercontent.com/biolab/orange3/master/Orange/datasets/heart_disease.tab')

We would normally split the data to 3 parts:

  • Training data for building a model
  • Validation data for testing which parameters and which model to use
  • Test data for estimating the accuracy of the model

Creating the workflow

Here, we load the heart-disease.tab data set from Browse documentation data sets in File widget. We have 303 patients diagnosed with blood vessel narrowing (1) or diagnosed as healthy (0).


Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative rapid qualitative data analysis and interactive data visualization. Orange is a component-based visual programming software package for data visualization, machine learning, data mining, and data analysis. Orange components are called widgets and they range from simple data visualization, subset selection, and pre-processing, to empirical evaluation of learning algorithms and predictive modeling. You can explore more about the Orange tool here.

Orange Widget

  • Data
  • Visualize
  • Model
  • Evaluate
  • Unsupervised and so on.

Widgets offer essential functionality, like:

  • Displaying data table and…

Data pre-processing is one technique of data mining using that you can convert your raw data into an understandable format. In his practical, we will take one dataset and performing the following task.

  1. Data Encoding
  2. Normalization
  3. Standardization
  4. Imputing the Missing Values
  5. Discretization
  • Rescaling Data


We made a chat web app in PHP using VS code for front end and Phpmyadmin for database . The name of this web application is Realtime chat application . In this web application the user is greeted with the login page and has to signup if the user is new. Then after signing-up he/she can see the people that are in there in the application and can engage in a chat securely with anyone. The user can engage socially and can develop communication skills using this application.

How it works

In this chat application, when you open it…

Web scraping is data scraping used for extracting data from websites. Web scraping a web page involves fetching it and extracting from it. Fetching is the downloading of a page. Therefore, web crawling is a main component of web scraping, to fetch pages for later processing. An example would be to find and copy names and telephone numbers, or companies and their URLs, or e-mail addresses to a list.

To extract data using web scraping with python, you need to follow these basic steps:

  1. Find the URL that you want to scrape.
  2. Inspecting the Page.
  3. Find the data you want…

What is Traffic Sign Recognition?

There are several different types of traffic signs like speed limits, no entry, traffic signals, turn left or right, children crossing, no passing of heavy vehicles, etc. Traffic signs classification is the process of identifying which class a traffic sign belongs to.

In this project, we will build a deep neural network model that can classify traffic signs present in the image into different categories. With this model, we are able to read and understand traffic signs which are a very important task for all autonomous vehicles.

For this project, we are using the German Traffic Sign Recognition Benchmark (GTSRB)…

Weather is a important aspect of a person life as it can help us to know when it will rain and when it will be sunny. Weather forecasting is the attempt to predict the weather condition at some future time and the weather conditions that may be expected. The climatic conditions parameters are based on the temperature, pressure, humidity, dewpoint, rainfall, precipitation, wind speed and size of data set. The parameters temperature, pressure, humidity, dew point, precipitation, rainfall is only considered for experimental analysis.

Firstly, the data is trained. For this prediction, we will be using Auto Regression model. For…

What is Android ?

Android is a mobile operating system developed by Google. It is used by several smartphones and tablets. The Android operating system (OS) is based on the Linux kernel.

What is Android Studio ?

Android Studio is the official Integrated Development Environment (IDE) for Android app development, based on IntelliJ IDEA. A unified environment where you can develop for all Android devices.

What is Gradle ?

Gradle is a build system, which is responsible for code compilation, testing, deployment and conversion of the code.


Location Based Voice Reminder is user friendly application which we had developed…


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