Practical Recommender Systems For Business Applications free download

Learn what recommender systems are and their importance for business intelligence . Learn the main aspects of implementing a Python data science framework within Google Colab . Use Python data analysis techniques to derive information and insights from structured data and unstructured text data . You can gain an edge over other data scientists if you can apply Python Data Analysis skills for making Data-Driven Recommendations based on user preferences . Be Able To Operate & Install Software on a Computer I have several years of experience in analyzing real-life data from different sources and producing publications for international peer-reviewed journals . I have an MPhil (Geography and Environment) from the University of Oxford .

What you’ll discover in Practical Recommender Solutions For Service Applications

  1. Learn what recommender systems are as well as their importance for business intelligence
  2. Find out the major elements of applying a Python data science structure within Google Colab
  3. Standard message analysis to get more information concerning user preferences
  4. Execute useful recommender systems using Python

  • Be Able To Operate & & Install Software Program On A Computer system
  • A Gmail Account
  • Prior Exposure to the Python Will be Valuable
  • Prior Exposure to the Jupyter Notebook Community
  • A Rate of interest in Understanding Practical Recommender Equipment

Description

ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT CONSTRUCTING PRACTICAL RECOMMENDER SYSTEMS WITH PYTHON

You Can Gain A Side Over Other Data Researchers If You Can Use Python Data Evaluation Skills For Making Data-Driven Suggestions Based On Individual Preferences

MY COURSE IS A HANDS-ON TRAINING WITH GENUINE RECOMMENDATION ASSOCIATED TROUBLES- You will learn to utilize important Python information scientific research methods to obtain info as well as insights from both structured information (such as those gotten in normal retail and/or service context) and also unstructured message data

Why Should You Take My Course?
I have an MPhil (Location and Atmosphere) from the College of Oxford, UK. I additionally finished a data scientific research extreme PhD at Cambridge University (Tropical Ecology as well as Conservation).
I have a number of years of experience in evaluating real-life information from various resources and also generating publications for worldwide peer-reviewed journals.

Who this course is for:

  • People Wanting To Master The Python/Google Colab Environment For Data Science
  • People Interested in Applying Python Data Science Techniques For BI Problems
  • Students Interested In Developing Powerful Data Visualisations
  • Learning to Make Product and Service Recommendations Based on Prior Choices
  • Make Recommendations Based On Text Descriptions
  • Identify the Best Recommender System For Your Problem
File Name :Practical Recommender Systems For Business Applications free download
Content Source:udemy
Genre / Category:Business
File Size :1.96 gb
Publisher :Minerva Singh
Updated and Published:03 Mar,2022
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File name: Practical-Recommender-Systems-For-Business-Applications.rar
File Size:1.96 gb
Course duration:3 hours
Instructor Name:Minerva Singh
Language:English
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