Course Overview
Harness the power of data with modern machine learning tools and techniques. In this one-day course, you will gain hands-on experience with machine learning libraries and toolkits such as Pandas, NumPy, Seaborn and scikit-learn.
Key Benefits for You:
- Live, instructor-led hands-on labs
- Develop, tune, and test machine learning models
- Build models with AI and machine learning
What you’ll learn
How will this course benefit the student?
- Harness the Power of Data
- Gain Competitive ML Skills
- Demonstrate Your AI Skills to Others
- Advance Your Career
Requirements
- Participants should have basic programming skills (preferably in Python), a foundational understanding of mathematics and statistics, some experience with data analysis.
Target audiences
- Developers. Data Engineers, IT and QA Staff. Technical Managers. DevOps Engineers. Analysts. Project Managers.
Curriculum
- 1 Section
- 4 Lessons
- 1 Day
Expand all sectionsCollapse all sections
- Topics4
- 1.1Module 1: AI/Machine Learning Overview and Data Processing Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas
- 1.2Module 2: Data Visualization Lab: Visualizing Data with Seaborn and Matplotlib
- 1.3Module 3: Machine Learning Models Lab: Building Models with scikit-learn
- 1.4Module 4: Hyperparameter Tuning Labs: Hyperparmeter Tuning with Optuna
Instructor
