This blog is all about how to split data into training and testing using the Orange tool. We will also learn more about Test & Score Widget. We will also explore the cross-validation method using the Orange tool.

Introduction to Orange tool please check my previous blog for that . Click here .

Train-Test Split

The train-test split is a technique for evaluating the performance of a machine learning algorithm. It can be used for classification or regression problems and can be used for any supervised learning algorithm. The procedure involves taking a dataset and dividing it into two subsets .

For…


This blog is all about introduction of Orange Tool . We can do a lot of stuff with the help of the orange tool like visual programming, data visualization, data exploration, data mining and many more . The orange tool is free and open-source and you can install it very easily on any operating system.

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 . …


This blog contain the information about data preprocessing . In this blog we will learn about different techniques of data preprocessing . So let’s start the discussion .

The longest and the most important step in this workflow is Data preparation/preprocessing, which approximately takes 70% of the time. This step is important because in most situations data provided by the customer has a bad quality or just cannot be directly fed to some kind of ML model.

Data preprocessing is a data mining technique which is used to transform the raw data in a useful and efficient format.

Steps for data preprocessing

  • Step 1…

This blog contain the information about web scraping like how it works , how to do , why it is important and all the necessary things cover in this blog .

Introduction

Web Scraping 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 .

Suppose you want get some information from the web page and you want to find large amount of data at that time web scraping concept is use . …


Now a day’s financial impact of agriculture is increase day by day with economic growth of our country, still agriculture is one wide sectors and that is play very important role for our county. While keeping track of diseases in plants with the help of specialists can be very costly in agriculture region. There is a need for a system which can automatically detect the diseases as it can bring revolution in monitoring large fields of crop and then plant leaves can be taken cure as soon as possible after detection of disease. There are so many diseases that affect…


In today’s scenario we all known that real estate market is a focused regarding pricing and keep fluctuating . It is the common field that we can apply the ideas of machine learning to enhance the cost with high accuracy . This project help to find a price for property based on the geographical variables by breaking down past market patterns and value ranges and coming advancements future costs will be anticipated .

Project Overview

First of all we have to download dataset from kaggle . Then we have to apply feature engineering into dataset to clean the data , feature scaling…


I gained a new sense of professionalism and cleaver view of what it meant to be in the professional world . I would advise everyone to take the opportunity and do an internship.

Company Overview:-

I have done my internship at Navpad Infotech , Vadodara . Navpad Infotech services are Website , App development , ERP solution and like many more services they provide . Navpad Infotech uses Microsoft .net , Visual Studio , Android Studio , MySql and like many more tools they use to create a better project effectively and quickly . …

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