Pre-requisites
● Basic knowledge of Linear algebra and Calculus
● Knowledge of probability and statistics
● Programming experience in Python
● Experience implementing computer science algorithms and object-oriented programming
● The ability to run programs and interpret output from a command line terminal or shell
Learning outcome
● To learn to build classification, regression, and clustering models using scikit-learn and other tools
Immediate job market outcome
● ML Engineer
● Jr. Data Scientist
Ideal participant profile
● Intermediate Python programming knowledge and understanding of linear algebra, Probability and statistics who desires to be an ML engineer
Courses duration: 3 months
Session length: 2 hours/week
Course Category:
Artificial Intelligence
Course Format:
Online
Course Solution:
Data, Technology
Course Price:
Customer-Based
