Start by getting your data. There are a number of ways to import data from within your organization, file directories, and databases. You can also copy and paste data from an existing dataset.

The dataset will appear in your workspace in Power BI Service. An easy way to start analyzing…


Power BI

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.

Get started with PowerBI

Import data to Power BI Dashboard


Neo4j is a graph database management system developed by Neo4j, Inc. Described by its developers as an ACID-compliant transactional database with native graph storage and processing, Neo4j is available in a GPL3-licensed open-source “community edition”, with online backup and high availability extensions licensed under a closed-source commercial license. …


Data preprocessing involves transforming raw data to well-formed data sets so that data mining analytics can be applied. Raw data is often incomplete and has inconsistent formatting. Preprocessing involves both data validation and data imputation.

Discretization :

Discretization methods are used to chop a continuous function into a discrete function…


In this blog, we will discuss more features of Orange Tool to Split our data into training data and testing data and how to use cross-validation.

Open Orange tool and add by default file of iris data set into workspace. Next, add the widget Data Sampler. Data Sampler selects a…


Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative data analysis and interactive data visualization, and can also be used as a Python library.

Orange components are called widgets and they range from simple data visualization, subset selection, and…


Dataset Description

Here I have used house pricing dataset. this dataset contains information about kitchen,bedroom,housestyle,area,street,price etc.

Data Encoding

Data encoding is the transformation of categorical variables to binary or numerical counterparts. In this we assign unique values to all the categorical attribute.so …


Social Networking sites allow users to communicate with their friends, other people, share posts, ideas, events, memories, and activities within their own networks. There are many social networking sites that have millions of users, like Facebook, MySpace etc.

Now, We know that use of social networking site is increasing. People…


Web Scraping

Web Scripting is an automatic method to obtain large amounts of data from websites. Most of this data is unstructured data in an HTML format which is then converted into structured data in a spreadsheet or a database so that it can be used in various applications. There are many different ways to perform web scraping to obtain data from websites. these include using online services, particular API’s or even creating your code for web scraping from scratch.

Requirements

Target Website: Find the URL that you want to scrape

Python Libraries: Requests, bs4(BeautifulSoup), Pandas

Inspect Targeted Website


Optical Character Recognition (OCR) has been a topic of interest for many years. It is defined as the process of digitizing a document image into its constituent characters.so we are here with one OCR app for text recognition from an image.

Introduction:

Optical Character Recognition (OCR) is a software that converts…

Rutvi Pan

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