Course Code:
dsptbspk
Duration:
3 hours
Prerequisites:
- Some prior programming experience would be useful (but not extremely essential) as we will use Python for demonstration and hands-on labs.
Course Outline:
A. Intro to Python Libraries for Machine Learning - 45 mins
1. Numpy
2. Pandas
3. Scikit-Learn
B. Intro to Machine Learning - 1.5 hours
1. Supervised Learning
- Linear Regression
- Decision Trees
- SVM
2. Unsupervised Learning
- K-Means Clustering
C. Big Data - 45 mins
1. Data economy
2. Data Governance
3. Big data, and Machine Learning in the Cloud (AWS / Azure)