Pre-register for the 3rd round of the "ML Database" course: https://forms.yandex.ru/u/6822f819842...
ML Database Demo Course: https://clck.ru/3FqDdH
ML Database Course: https://clck.ru/3FqDeS
ML in Business Course: https://clck.ru/3FqDik
MLinside on Telegram: https://t.me/+xPCRRLylQh5lMmI6
Timecodes:
0:00 - Introduction. What are features in machine learning?
0:49 - Why are features needed? We'll explain using the example of identifying a loan application.
2:46 - Undefined feature values: How to solve the problem?
3:47 - Types of features in ML: Examples.
6:16 - Categorical Features. How to Avoid Overfitting Algorithms?
7:30 - Text Features: What You Need to Know?
8:45 - Product Recommendations: A Complex Example with Additional Features.
11:27 - Is It Possible to Create Features Manually? Handcrafted Features.
12:53 - How to Convert Text Features to Numbers?
18:08 - An Advanced Method for Working with Text.
21:11 - Do We Need to Create Features If a Neural Network Does It?
23:30 - Conclusion: Key Findings and Summary.