Uploaded March 2022 | Updated September 2026, 2 hours ago
Here are some tips and tricks to efficiently find missing data in your datasets.
Missing values can be elusive and hard to pinpoint, yet they might cause big problems for your model training. So let's learn how to get ahead of the missing values problem before it starts affecting our work.
RESOURCES:
πββοΈ Data Science Kick-starter mini-course: misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
π Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl
π Website - misraturp.com
π₯ Twitter - twitter.com/misraturp
Here are some tips and tricks to efficiently find missing data in your datasets.
Missing values can be elusive and hard to pinpoint, yet they might cause big problems for your model training. So let's learn how to get ahead of the missing values problem before it starts affecting our work.
RESOURCES:
πββοΈ Data Science Kick-starter mini-course: misraturp.gumroad.com/l/kick-starter
πΌ Pandas cheat sheet: misraturp.gumroad.com/l/pandascs
π Fundamentals of Deep Learning in 25 pages: misraturp.gumroad.com/l/fdl
π Website - misraturp.com
π₯ Twitter - twitter.com/misraturp










