intermediateCertificate$25/mo
Preprocessing for Machine Learning in Python
by Sarah Guido · DataCamp
4.4(2,800 reviews)
70K+ enrolled4 hoursUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of data preprocessing
Apply data preprocessing techniques to solve real-world problems
Understand the fundamentals and key concepts of feature engineering
Apply feature engineering techniques to solve real-world problems
Understand the fundamentals and key concepts of scikit-learn
Apply scikit-learn techniques to solve real-world problems
About This Course
Prepare data for ML models covering missing data, standardization, feature engineering, and text preprocessing with scikit-learn.
Curriculum
Module 1: Data preprocessing & Feature engineering6 lessons
- Introduction to data preprocessing
- Data preprocessing in Practice
- Hands-on Exercise: Data preprocessing
- Introduction to feature engineering
- Feature engineering in Practice
- Hands-on Exercise: Feature engineering
Module 2: Scikit-learn & Python6 lessons
- Introduction to scikit-learn
- Scikit-learn in Practice
- Hands-on Exercise: Scikit-learn
- Introduction to Python
- Python in Practice
- Hands-on Exercise: Python
Module 3: Machine learning3 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
Instructor
Sarah Guido
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Sarah Guido
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$25/mo
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