I recently completed the Machine Learning with Python course offered by IBM SkillsBuild.
The Machine Learning with Python course by IBM on SkillBuild is designed to provide a comprehensive introduction to machine learning using Python. Here are some key highlights:
- Foundational Concepts: The course begins with an introduction to machine learning, covering the basics of supervised and unsupervised learning, as well as linear and non-linear regression.
- Classification Techniques: You will learn about various classification algorithms, including K-Nearest Neighbors (KNN), decision trees, and logistic regression.
- Clustering Methods: The course covers different clustering techniques such as k-means, hierarchical clustering, and DBSCAN.
- Hands-On Learning: Emphasis is placed on practical experience, using Python libraries like SciPy and scikit-learn. You will apply your knowledge through labs and projects.
- Final Project: By the end of the course, you will build, evaluate, and compare several machine learning models using different algorithms.
- Career Skills: Completing the course will equip you with job-ready skills and a certificate to showcase your competency in machine learning
This course is suitable for those looking to advance their data science career or get started in machine learning and deep learning.
