KNIME a platform for Machine Learning and Data Science

KNIME a platform for Machine Learning and Data Science, available at $19.99, has an average rating of 4.3, with 10 lectures, 2 quizzes, based on 84 reviews, and has 463 subscribers.

You will learn about Basics of KNIME How to select different ML models for different Data sets Building ML Models on multiple different kind of Data Sets nad Data Cleaning Techniques In a brief and systematic manner, evaluate, analyse, and convey the results of the ML models. This course is ideal for individuals who are Beginners in KNIME who would want to learn about different Machine Learning Models or Industry Professionals looking for jobs as a Program Manager and a Data Scientist or Students intrested in Data Science and Decision Making through Machine Learning It is particularly useful for Beginners in KNIME who would want to learn about different Machine Learning Models or Industry Professionals looking for jobs as a Program Manager and a Data Scientist or Students intrested in Data Science and Decision Making through Machine Learning.

Enroll now: KNIME a platform for Machine Learning and Data Science

Summary

Title: KNIME a platform for Machine Learning and Data Science

Price: $19.99

Average Rating: 4.3

Number of Lectures: 10

Number of Quizzes: 2

Number of Published Lectures: 10

Number of Published Quizzes: 2

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of KNIME
How to select different ML models for different Data sets
Building ML Models on multiple different kind of Data Sets nad Data Cleaning Techniques
In a brief and systematic manner, evaluate, analyse, and convey the results of the ML models.

Who Should Attend

Beginners in KNIME who would want to learn about different Machine Learning Models
Industry Professionals looking for jobs as a Program Manager and a Data Scientist
Students intrested in Data Science and Decision Making through Machine Learning

Target Audiences

Beginners in KNIME who would want to learn about different Machine Learning Models
Industry Professionals looking for jobs as a Program Manager and a Data Scientist
Students intrested in Data Science and Decision Making through Machine Learning

This is a course for Business Enthusiasts who look for data-driven decision-making techniques for different business scenarios. This would provide a basic and intermediate level understanding of different Machine Learning Algorithms and how they can be implemented in KNIME. It would also teach the students how to judge the different Machine Learning Algorithms and which ones will fit your business scenario. KNIME is free and powerful software that has a vast number of business use cases. KNIME is used in many huge corporates and also in startups. This would also be ideal for any student who is pursuing an MBA with a major in Operations and Data Science.

KNIME Analytics Platform is the open-source software for creating data science. Intuitive, open, and continuously integrating new developments, KNIME makes understanding data and designing data science workflows and reusable components accessible to everyone. Knime is a great tool of choice for people with no programming background and looking for a free tool. Knime is a great tool for people not fully comfortable with python syntax. It is great for database manipulation and wrangling. It has a visual drag and drop interface and allows an amazing number of advanced data analytics. KNIME Software allows you to reach back into the data science cycle at predetermined touchpoints to update data sources, tweak parameters, inject domain knowledge, and more – all this without touching an actual workflow.

SO LET”S CRACK KNIME TOGETHER!!!!!!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Create a basic workflow on KNIME

Lecture 3: Addition on the basic workflow

Chapter 2: Basics of Machine Learning

Lecture 1: Introduction to Machine Learning

Lecture 2: Regression Basics

Lecture 3: Regression on KNIME

Chapter 3: Logistic Regression, Decision Tree and Project

Lecture 1: Logistic Regression Theory

Lecture 2: Log Regression on KNIME

Lecture 3: KNIME Decision Tree

Chapter 4: KNIME Project

Lecture 1: KNIME Project Different ML Algorithms and their effectiveness

Instructors

Eshan Chatterjee
MBA Grad Student

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 78 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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