Machine Learning Engineering
Build predictive models using supervised and unsupervised learning techniques.
4.7 (950 ratings)•180 students
What you'll learn
- ✔ML Fundamentals
- ✔Regression & Classification
- ✔Clustering
- ✔Dimensionality Reduction
- ✔Model Evaluation
- ✔Ensemble Methods
- ✔Final Project
Course content
7 sections • 55 lectures • 12h total length
Section 1: ML Fundamentals1 lecture • 1hr
Section 2: Regression & Classification1 lecture • 1hr
Section 3: Clustering1 lecture • 1hr
Section 4: Dimensionality Reduction1 lecture • 1hr
Section 5: Model Evaluation1 lecture • 1hr
Section 6: Ensemble Methods1 lecture • 1hr
Section 7: Final Project1 lecture • 1hr
Requirements
- Basic Python knowledge
- Understanding of statistics
- Access to a computer
Description
Learn machine learning algorithms, model evaluation, feature engineering, and deployment using real datasets.
Instructor
Mr. Michael Peterson
Mr. Michael Peterson is a machine learning expert with numerous publications and industry projects.
This course includes:
- 12h on-demand video
- Full lifetime access
- Certificate of completion