Not ranked World ranking
4.0 Read 6 reviews
Featured byIBMx
Overview
This Machine Learning with Python - A Practical Introduction course at IBMx dives into the basics of Machine Learning using Python, an approachable and well-known programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.
This course is part of the Python Data Science Professional Certificate
You'll look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!
We'll explore many popular algorithms including Classification, Regression, Clustering, and Dimensional Reduction and popular models such as Train/Test Split, Root Mean Squared Error and Random Forests.
Most importantly, you will transform your theoretical knowledge into practical skill using hands-on labs. Get ready to do more learning than your machine!
What you will learn
Supervised vs Unsupervised Machine Learning
How Statistical Modeling relates to Machine Learning, and how to do a comparison of each.
Different ways machine learning affects society
Get more details
Visit university websiteProgramme Structure
Courses include:
Module 1 - Machine Learning
- Applications of Machine Learning
- Supervised vs Unsupervised Learning
- Python libraries suitable for Machine Learning
Module 2 - Regression
- Linear Regression
- Non-linear Regression
- Model evaluation methods
Module 3 - Classification
- K-Nearest Neighbour
- Decision Trees
- Logistic Regression
- Support Vector Machines
- Model Evaluation
Module 4 - Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- Density-Based Clustering
Module 5 - Recommender Systems
- Content-based recommender systems
- Collaborative Filtering
Check out the full curriculum
Visit university websiteKey information
Duration
- Part-time
- 35 days
- 4 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 519 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit university websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites:
- Recommended: Python Basics for Data Science
Make sure you meet all requirements
Visit university websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 35 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 35 days.
Add a Verified Certificate for $99 USD
Limited access:free
Funding
Improve page content