How to impute missing data in categorical features (using MICE)
Welcome to the tenth video of the series "Build your First Machine Learning Project". In this, we'll see how to impute categorical data using MICE in Python.
This video will provide in-depth information on imputing categorical data with python codes walk through.
So let's understand it.
Chapters
0:00 - 0:33 Intro
0:34- 4:52 How to impute categorical data using MICE
4:53 -8:24 Begin MICE imputation
8:24-8:40 Conclusion
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Previous Lesson:
Impute Missing Values using MICE : • Multiple Imputation by Chained Equati...
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...
8. How to impute missing Data: • How to handle missing data for machin...
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