Welcome to the ninth video of the series "Build your First Machine Learning Project". In this, we'll see MICE Algorithm to impute missing Data with Code examples.
MICE is an advanced algorithm to impute the missing data that uses multiple iterations of Machine Learning Model training.
This video will provide in-depth information on the MICE and you'll get hands on python code.
So let's understand it.
Chapters
00:00 - 1.57 Intro
01:57- 4:15 What is the idea behind MICE algorithm?
4:15- 11:11 MICE - Full algorithm
11:12 - 15:16 Implementation of MICE
15:16 -15:24 Conclusion
In order to make the best out of this, please watch this series in the order in playlist: Build Your First ML Model Playlist: • Build Your FIRST Machi...
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Previous Lesson:
Impute Missing Values : • How to handle missing ...
Earlier Lessons:
1. Build your first ML Project: • Build Your FIRST Machi...
2. How to Formulate ML Problem: • Build Your First ML Pr...
3. Setup Python Environment: • Setup Python Environme...
4. Jupyter Notebook Tutorial: • Jupyter Notebook Tutor...
5. What is ML Modeling: • What is ML Modeling? (...
6. Reduce the size of Pandas Dataframe: • Reduce the memory size...
7. What is EDA: • Exploratory Data Analy...
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15 июл 2024
