Intro to Machine Learning


This course explores fundamental concepts of data analysis and pattern recognition.

Students delve into supervised and unsupervised learning algorithms, including regression, classification, and clustering.

Through hands-on projects, attendees will develop skills in Python programming and use popular libraries like Pandas, NumPy, and Scikit-learn to build and evaluate machine learning models.

Who Is This Course For? 

intermediate users, familiar with data analysis foundations

What Will You Learn? 
How to differentiate between supervised and unsupervised learning use cases.
The steps used to accomplish binary classification.
The steps and process of clustering data.
The top five models used in machine learning.
How to measure performance of machine learning models.

 Intro to Data Analytics

15 hours

Course Schedule:

This course is not currently scheduled. Please sign up if you want to get this course soon.