Type
Post Secondary
Credits
3.00
Subject
IT - Data

Introduces learners to machine learning using Python. Learners process data and construct visualizations. Learners write Python code to classify data. Learners use various Python libraries to perform both supervised and unsupervised learning. Learners use Python to perform natural language processing, build neural networks, and understand deep learning.

Conditions
Student has completed all of the following course(s): ITDATA 10156109 - Data Mining & Predictive Analy, ITDATA 10156113 - Data Visualizations 1, PROGRAMR 10152571 - Advanced Data: ETL

Availability & Registration

We offer the following class sections for this course (10-156-106). View more class specific details and registration information by selecting a class number.

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