Machine Learning (ML) — From Basics to Deployment
Step into the world of Machine Learning with this comprehensive, hands-on course designed to transform beginners into proficient ML practitioners. You’ll learn Python-based data handling, model building, and deployment — mastering the tools and techniques that power modern AI systems. Every topic is taught through real-time, project-based learning with professional guidance.
What You'll Learn
Understand the fundamentals of Machine Learning and its applications. Master Python essentials for data handling and model building. Explore libraries like NumPy, Pandas, and Matplotlib. Perform Exploratory Data Analysis (EDA) and Data Preprocessing. Build and evaluate ML models (Regression, Classification, etc.). Use FastAI and modern AI tools for simplified model creation. Create and deploy an end-to-end Machine Learning project. Gain hands-on experience through real-time classes and projects.
Course Highlights
- Expert-led instruction
- Hands-on projects
- Real-world case studies
- Community support
Course Includes
- Online real-time classes
- Lifetime access
- Certification of completion
- Real-time doubt clearing
- Full refund if you don’t understand the course
Who This Course Is For
- Beginners interested in learning Machine Learning
- Students aiming for a career in AI and Data Science
- Developers and professionals looking to upskill in ML
- Anyone who wants to learn how to train, test, and deploy models