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Predictive Analytics for Machine Learning 

  • Offered byGreat Learning

Predictive Analytics for Machine Learning
 at 
Great Learning 
Overview

Enroll in the Predictive Analytics for Machine Learning Free Course to learn from our experts on Predictive Analytics, Feature Engineering, Deep Feature Synthesis and more. Start today an enhance your Machine Learning skills!

Duration

2 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Predictive Analytics for Machine Learning
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Predictive Analytics for Machine Learning
 at 
Great Learning 
Course details

What are the course deliverables?
  • Predictive Analytics
  • Feature Engineering
  • Deep Feature Synthesis
  • Model Selection Techniques
More about this course
  • This free course on Predictive Analytics on Machine Learning begins with an introduction to predictive analytics and feature engineering. You'll learn about the types of features used in machine learning and how to engineer them for optimal performance. The course also covers prediction engineering and deep feature synthesis, which are essential skills for machine learning engineers.
  • One of the highlights of the course is the case study on retail spending. You'll get hands-on experience with real-world data and learn how to apply the techniques you've learned in the course to solve a practical problem. The course also covers model selection techniques and train and test split for temporal data. These skills are essential for building accurate and reliable machine learning models.
  • Overall, this course is a great opportunity to enhance your machine learning skills and boost your career. And the best part? You'll get a certification upon completion of the course. Enroll now and start your journey towards becoming a machine learning expert.
Read more

Predictive Analytics for Machine Learning
 at 
Great Learning 
Curriculum

Introduction to Predictive Analytics and Feature Engineering

Prediction Engineering Introduction

Feature Egineering Introduction

Types of Features

Deep Feature Synthesis

Train and Test Split for Temporal Data

Model Selection Techniques

Case Study on Retail Spending

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Predictive Analytics for Machine Learning
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