Data Science & AI
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Machine Learning
Learn scikit-learn from Scratch
Master scikit-learn with hands-on projects and real-world examples
By Vikram Singh
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English
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What you'll learn
- Understand the core concepts of scikit-learn and how they fit together
- Build hands-on projects using scikit-learn that you can add to your portfolio
- Apply scikit-learn to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common scikit-learn mistakes
- Gain the confidence to use scikit-learn at work and in interviews
Skills you'll gain
scikit-learn
Practical Projects
Debugging
Best Practices
Problem Solving
Machine Learning
About this course
Learn scikit-learn the practical way. This Data Science & AI course focuses on doing: you'll work through real examples in Machine Learning, understand the why behind each technique, and finish with projects for your portfolio. Vikram Singh keeps things clear and example-led, so you build genuine, transferable skill. By the end you'll be ready to use scikit-learn confidently at work and in interviews.
Curriculum
Getting Started
- Welcome and what you'll build video · 08:00 ▶ Free preview
- scikit-learn in 10 minutes video · 09:00 ▶ Free preview
- Your first scikit-learn walkthrough video · 10:00
- Hands-on exercise video · 11:00
- Building the project — part 2 video · 12:00
Core Concepts
- Hands-on exercise video · 15:00
- Building the project — part 2 video · 16:00
- Best practices from industry video · 17:00
Hands-On Practice
- Best practices from industry video · 10:00
- A real-world case study video · 11:00
- Recap and where to go next video · 12:00
- Setting up your environment video · 13:00
Building Real Projects
- Welcome and what you'll build video · 17:00
- scikit-learn in 10 minutes video · 06:00
- Your first scikit-learn walkthrough video · 07:00
- Hands-on exercise video · 08:00
- Building the project — part 2 video · 09:00
Going Deeper
- Hands-on exercise video · 12:00
- Building the project — part 2 video · 13:00
- Best practices from industry video · 14:00
Best Practices
- Best practices from industry video · 07:00
- A real-world case study video · 08:00
- Recap and where to go next video · 09:00
- Setting up your environment video · 10:00