Tag: KNIME Analytics

KNIME with Python and R for Machine Learning Training Course

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Introduction

Getting Started with Knime

  • What is KNIME?
  • KNIME Analytics
  • KNIME Server

Machine Learning

  • Computational learning theory
  • Computer algorithms for computational experience

Preparing the Development Environment

  • Installing and configuring KNIME

KNIME Nodes

  • Adding nodes
  • Accessing and reading data
  • Merging, splitting, and filtering data
  • Grouping and pivoting data
  • Cleaning data

Modeling

  • Creating workflows
  • Importing data
  • Preparing data
  • Visualizing data
  • Creating a decision tree model
  • Working with regression models
  • Predicting data
  • Comparing and matching data

Learning Techniques

  • Working with random forest techniques
  • Using polynomial regression
  • Assigning classes
  • Evaluating models

Summary and Conclusion

KNIME Analytics Platform for BI Training Course

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Duration

21 hours (usually 3 days including breaks)

Requirements

A basic aptitude for making sense out of data.

Overview

KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows

 Certification

KNIME

NobleProg and KNIME design, build and deliver end-to-end advanced analytics solutions that are customized to each customer’s business needs.

By combining KNIME’s leading open solution for data driven innovation with NobleProg’s domain and technical expertise in analytics, we help our customers reduce costs and gain data-driven insights for better business outcomes.

Course Outline

Getting Started with KNIME

  • KNIME Analytics Platform Overview
  • Installation
  • GUI Based Programming
    • Workflows
    • Nodes
    • Importing Workflows

Data Access

  • Reading From A Text File
  • Database Access
  • External REST Services
  • Artificial Data Generation

Visualization

  • Data Visualization
  • JavaScript Based Visualization
  • Data Views
  • Highlighting
  • Graphics Through R
  • ETL And Data Manipulation

Data Filtering

  • Data Aggregations
  • Concatenation And Join
  • Data Transformations
  • Workflow Clean Up
  • Datetime Manipulation
  • In-Database Processing

Data Mining

  • Process Overview
  • Training And Applying A Decision Tree
  • Scoring A Model
  • PMML
  • K-Means Clustering
  • Recommendation Engines
  • Other Models Available

Reporting

  • Overview
  • BIRT Integration
  • KNIME WebPortal

Conclusion