Modeling And Machine Learning
Course #10156106- 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.
| Section | Status | Start/End Date | Register By | Instruction Mode | Campus | Meeting Information | Cost |
|---|---|---|---|---|---|---|---|
| #01 Spring | 
Open |
Jan 27 –
May 23
|
Feb 1 | Online Required Due Dates | Online |
Jan 27 – May 23
-
Online
J.J. Minarcin
|
View Rates |