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 indepth 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



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Previous Lesson:
Impute Missing Values :    • How to handle missing data for machin...  

Earlier Lessons:
1. Build your first ML Project:    • Build Your FIRST Machine Learning Pro...  
2. How to Formulate ML Problem:    • Build Your First ML Project part 2:  ...  
3. Setup Python Environment:    • Setup Python Environment using ANACONDA  
4. Jupyter Notebook Tutorial:    • Jupyter Notebook Tutorial  How to In...  
5. What is ML Modeling:    • What is ML Modeling? (Problem stateme...  
6. Reduce the size of Pandas Dataframe:    • Reduce the memory size of Pandas Data...  
7. What is EDA:    • Exploratory Data Analysis (EDA)  Use...  


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