15 Machine Learning Lessons I Wish I Knew Earlier
In this video, I will tell you 15 lessons I learned over the years that could have made my Machine Learning journey easier to save you some time.
Also Watch:
How to Learn Machine Learning in 2024 (7 step roadmap) https://youtu.be/jwTaBztqTZ0
All Machine Learning algorithms explained in 17 min https://youtu.be/E0Hmnixke2g
The Math Skills that make Machine Learning easy (and how you can learn it) https://youtu.be/wOTFGRSUQ6Q
Machine Learning Playlist: https://www.youtube.com/watch?v=wOTFGRSUQ6Q&list=PLbdTl8vSSyUDAvDPc1r3j9itciu_kb5vG&ab_channel=InfiniteCodes
Git/Github Playlist:
### Chapters ###
00:00 – Intro
00:21 – Imposter Syndrome Happens to Everyone
01:23 – Fundamentals Are Your Best Friend
03:08 – You Don’t Need to Memorize Everything
03:50 – Modeling Isn’t the Hard Part
04:44 – Understand the Business Problem First
05:35 – The Power of EDA & Visualization
07:10 – Feature Engineering is Key
08:24 – Don’t Get Stuck in Algorithm Obsession
09:57 – Understanding The Bias-Variance Tradeoff and Proper Validation Are Key to Building Useful Models
11:57 – Generalize Before Specializing
12:41 – Data Science is a Team Sport
14:18 – You’ll Always Be a Student
14:46 – There’s more to AI than Machine Learning
15:50 – Real-World Projects beats Kaggle Competitions beats Tutorials & Toy Data
17:20 – Network as Much as You Can
source