knime

KNIME for Supply Chain Management

Reading Time: 7 minutes KNIME can be used to develop customised components of Supply Chain Management, from Inventory plan to forecast solutions.

Analysis of campus placement dataset using decision tree

Reading Time: 3 minutes KNIME Analytics Platform is open-source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. With KNIME Analytics Platform, you can create visual workflows with an intuitive, drag and drop style graphical interface, without the need for coding. Hello, folks! In this blog, we will analyse the Campus placement data Continue Reading

Knime Meets Apache Kafka

Reading Time: 4 minutes Knime taps into the power of Apache Kafka’s pub-sub mechanism by introducing Kafka extension. It adds nodes to connect, read and publish to Kafka cluster.

Product demand forecasting with Knime

Reading Time: 5 minutes In this blog, we are going to see, Importance of demand forecasting and how we can easily create these forecasting workflows with Knime. Market request forecasting is a basic procedure for any business, however maybe none more so than those in buyer packaged products. Stock, production, storage, delivering, showcasing – each aspect of CPG and retail organizations’ activities are influenced by accurate forecasting. Identifying shoppers’ Continue Reading

ICC Test Cricket Data Analysis using KNIME

Reading Time: 4 minutes KNIME Analytics Platform is open-source software for creating data science applications and services. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. With KNIME Analytics Platform, you can create visual workflows with an intuitive, drag and drop style graphical interface, without the need for coding. Hello, folks! In this blog, we will analyse Continue Reading

Knime: Accessing a REST API with dynamic query param

Reading Time: 3 minutes Nowadays Rest API is the most widely used way to share data, In which many API returns a subset of complete data in form of page. Sometimes we need to append multiple query param in the URL to get some specific and filtered data. In this blog, we will learn how to generate dynamic URLs by adding query param and get data. Knime platform supports Continue Reading

Linear Regression with Knime

Reading Time: 5 minutes Linear Regression is perhaps one of the most well known and well -understood algorithms in Statistics and Machine Learning. It tries to find a relationship between the independent and dependent continuous variables by determining a linear equation of the form Y = b0 + b1*x1 + b2*x2 + ….. Here, the x values represent the independent variables, b values are the coefficients of the independent Continue Reading

Data Access with Knime

Reading Time: 5 minutes Knime provides access to various file formats without worrying about the coding behind it. The user just needs to drag and drop an appropriate access node.

Knime Analytics Platform: A dream for a data scientist

Reading Time: 3 minutes In this blog, we are going to see, what is the Knime analytics platform and its important features to create an analytics workflow in an easy way. Introduction to Knime Analytics Platform KNIME is a platform built for powerful analytics on a GUI based workflow. This means you do not have to know how to code to be able to work using KNIME and derive Continue Reading