Overview Predicting how the stock market will perform is one of the most difficult things to do. There are so many factors involved in the prediction — physical factors vs. physhological, rational and irrational behaviour, etc. …

AIM:- Using image data, predict the gender and age range of an individual in Python. Test the data science model using your own image. This blog is about how we predict gender and age from a given image using OpenCV and the machine learning library. What is OpenCV in machine…

Gephi Tool Gephi is a tool for data analysts and scientists keen to explore and understand graphs. Like Photoshop but for graph data, the user interacts with the representation, manipulate the structures, shapes and colors to reveal hidden patterns. …

This blog is part helps you learn how to generate various reports in power bi using the dataset we have. It describes how to import data from an excel datasheet into Power BI, do data analyses, and build reports with various visuals. Load the data. Explore your dashboard. Choose the right Fields for Right Chart.

Step 1: Import data to Power BI Dashboard Without numbers, there is no data to visualize, so the third step of Power BI dashboard creation is to import data. …

Introduction Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. Microsoft Power BI is a collection of software services, applications, and connectors that function together to transform cohesive, visually immersive, and collaborative insights through the unrelated knowledge sources. Power BI lets you quickly link to your data sources, imagine (or discover) what’s relevant, and share it with someone or anyone you want, whether your data is a single Microsoft Excel workbook or a series of cloud-based and on-premises hybrid data warehouses.

This blog is about the data preprocessing using the Orange tool. Visit the profile for previous blogs. …

Let’s begin with the basic workflow. We have used the IRIS dataset for the workflow. Splitting Data Into Training Data And Testing Data For splitting the dataset, we use Data Sampler Widget. Now, we will split the data into two parts, 80% of data for training and 20% for testing…

Orange is a C++ core object and routines library that incorporates a huge variety of standard and non-standard machine learning and data mining algorithms. It is an open-source data visualization, data mining, and machine learning tool. Orange is a scriptable environment for quick prototyping of the latest algorithms and testing…