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[ FreeCourseWeb.com ] SigmaWay's RapidMiner and Data Analytics Course
Download More Latest Courses Visit -->> https://FreeCourseWeb.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 1.72 GB | Duration: 8 section | 22 lectures | (3h 11m)
What you'll learn
RapidMiner- User Interface, Storing and using Data, Various Data Analysis Operators
Data Mining Techniques- Text Mining, Web Mining
Data Analysis Techniques- Regression, Factor Analysis, Principal component Analysis
Applied Data Sciences Processes- Twitter Sentiment Analysis, Product Propensity Analysis, Fraud Detection, Factor Analysis
Requirements
Basic Understanding of Statistics
Interest in Machine Learning and Data Analytics
Description
Welcome to Sigmaway’s Rapid Miner Course series where we aim to help budding industry professionals and data scientists understand various data analytics processes and show them how these processes are performed in a statistical software like RapidMiner.
The course takes you through a guided journey across various process and situations a Data Analyst might face, and teaches you the theoretical concepts behind such process and shows you how to perform them in RapidMiner, a " No Code " analytics software.
Understanding data and how to use it should not be limited requirements like knowledge of coding.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Latest Courses Visit -->> https://FreeCourseWeb.com
Get Latest Apps Tips and Tricks -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
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