Intermediate Machine Learning

For students who already grasp the fundamentals of machine learning and wish to enhance their capacity to create more dependable and accurate models, Kaggle’s Intermediate Machine Learning is a useful, hands-on course. Essential real-world machine learning techniques are covered in the course, including how to deal with missing data, work with categorical variables, build machine learning pipelines, apply cross-validation, use XGBoost for high-performance models, and prevent data leaking. Learners get hands-on expertise with Python and common machine learning techniques through interactive coding activities. The course offers a free completion certificate and has about 4 hours of self-paced content.

• Provider/Creator: Kaggle
• Platform: Kaggle Learn
• Category: Machine Learning
• Level: Intermediate
• Duration: ~4 hours
• Certificate: Yes (Free certificate)
• Rating: 4.8/5
• Direct Course Link: Intermediate Machine Learning
• Recommended For:
  • Learners who have completed an introductory machine learning course
  • Data analysts and aspiring data scientists looking to strengthen ML skills
  • Python users familiar with basic machine learning concepts
  • Anyone preparing for Kaggle competitions or real-world machine learning projects