
Intro to Predictive Analytics Using Python


Intro to Predictive Analytics Using Python
This course is part of How to Use Data Specialization

Instructor: Brandon Krakowsky
Access provided by Yamaha Motor Solutions India Pvt. Ltd
Beginner level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Implement data preprocessing and model training procedures for regression.
Interpret feature importance in decision trees and random forests.
Explain the difference between supervised and unsupervised learning.
Skills you'll gain
- Predictive Analytics
- Forecasting
- Machine Learning
- Unsupervised Learning
- Decision Tree Learning
- Data Analysis
- Random Forest Algorithm
- Predictive Modeling
- Classification And Regression Tree (CART)
- Feature Engineering
- Supervised Learning
- Regression Analysis
- Python Programming
- Scikit Learn (Machine Learning Library)
Details to know

Shareable certificate
Add to your LinkedIn profile
Taught in English
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Build your subject-matter expertise
This course is part of the How to Use Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

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