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About Course:

RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. It is used for business and commercial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the machine learning process including data preparation, results visualization, model validation and optimization.


Duration : 25 hours

Fee: 16000 


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Includes
  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Module of Training

LIVE ONLINE TRAINING


Live presentation of theory, demonstration of tool, features & tasks

We are connecting Online via Goto Meeting

You will get recordings of each training session that you attended

Get practice environment for practical & hands-on Training curriculum has been designed by real-time industry professionals & real-time scenarios training pattern

CORPORATE TRAINING


Learn as per day-wise & customized schedule with discussions & lab exercises included

One to one or Batch-wise interactive demonstration of a tool, features and 100% practical classes

World-class learning material & case studies for the course

Completely customizable course content & schedule as per convenience

Certification guidance provided if necessary

Curriculum

RapidMiner Training Download  

RapidMiner Training

RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. It is used for business and commercial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the machine learning process including data preparation, results visualization, model validation and optimization.

In 2019, Gartner placed RapidMiner in the leader quadrant of its Magic Quadrant for Data Science & Machine Learning Platforms for the sixth year in a row. The report noted that RapidMiner provides deep and broad modeling capabilities for automated end-to-end model development. In the 2018 annual software poll, KDnuggets readers voted RapidMiner as one of the most popular data analytics software with the poll’s respondents citing the software package as the tool they use.

RapidMiner has received millions of total downloads and has over 400,000 users including BMW, Intel, Cisco, GE, and Samsung as paying customers. RapidMiner claims to be the market leader in the software for data science platforms against competitors such as SAS and IBM.

  1. Introduction of RapidMiner
  • UnderstandRapidminer
  • InstallRapidMiner
  • What is machine Learning?
  1. RapidMiner Studio
  • User Interface of RapidMiner Studio
  • Operators, Extensions, Repository, Parameters
  • Creating and Managing RapidMiner Repositories
  • Importing Data in RapidMiner
  • Loading Data from multiple sources
  • Storing Data, Processes, and Result Sets
  1. RapidMiner Data Preparation
  • Multiple Sources
  • Joins & Set Theory
  • Understanding New Attributes
  • Advanced Extract, Transform and Load
  • Aggregation & Multi-Level Aggregations
  • Handling Attribute Roles
  • Pivot & Un-Pivot of Data
  • Calculated Values
  • Regular Expressions
  • Changing Value Types
  • Feature Generation and Feature Engineering
  1. Visualizing Data In RapidMiner

Learn how to visualize results in RapidMiner Studio to help you in finding outliers and get interesting stats with data analytics.

  1. Working On Data
  • Data Cleansing
  • Data Merging
  • Data Pivoting
  1. Machine Learning
  • Creating a 'Decision Tree' Model
  • Applying the Model
  • Testing a Model
  • Validating a Model
  • Finding the Right Model
  • Optimization of the Model Parameters
  • Automated Model Selection and Optimization
  • Auto Model - Classification
  • Auto Model - Clustering & Outliers
  1. Predictive Modeling Algorithms
  • k-Nearest Neighbor
  • Naïve Bayes
  • Decision Trees & Rules
  • Support Vector Machines
  • Logistic and Linear Regression
  • Neural Networks
  1. Deployment and scaling
  • Collaboration of RapidMiner Studio and Server
  • Introduction to RapidMiner Server
  • Preparation for RapidMiner Server Installation
  • RapidMiner Server Installation
  • Introduction to RapidMiner Radoop

 

 

Who should Learn RapidMiner Training

Data scientist, BI Professionals

Prerequisit for RapidMiner Training

There is no such prerequsite to learn RapidMiner. This is basicaly a toll used by the data scientist's who don't have programing knowledge.

Delivery Meghodology used to deliver RapidMiner Training

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

RapidMiner Training FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed. For more details: Just give us a call at: +91 769-409-5404 & +1 786-629-6893 You can also write to us: support@bisptrainings.com

Question: What if I have more queries and doubts?

Answer: Just give us call at : +91 769-409-5404 & +1 786-629-6893 You can also write to us: support@bisptrainings.com

Question: How Fee Refund Policy works?

Answer: Please refer the link for refund policy: https://www.bisptrainings.com/Refund-Policy

Case Study and Learning Pdf's

Certificate

Certificate123
Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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