This one-day lab workshop introduces students to Python, the industry standard machine learning ecosystem that uses algorithms to learn from data and make predictions. Students gain hands-on experience with installing Python libraries like Scikit, Pandas, and Matplotlib and get a quick review of Python, Pandas, and Matplotlib.
Working with a sample dataset, students learn to data cleanse—load a dataset, extract standard statistics, create a dataset visualization, perform dataset pre-processing—and then apply machine learning and prediction. By the end of class, students have a working Python machine learning environment and a sample step-by-step machine learning project. Participants go on to pursue advanced machine learning and data science courses.
The vast range of applications of machine learning, which includes everything from self-driving cars to stock price prediction, makes it an extremely marketable job skill.
- Python Packages to download
- Python review
- NumPy, Pandas, Matplotlib review
- Loading CSV datasets
- Descriptive statistics on a dataset
- Visualizing a dataset
- Pre-process a dataset
- Feature selection
- Machine Learning and prediction with datasets
- Interesting datasets
Skills Needed: Moderate understanding of computer programming language and elementary understanding of probability and statistics.