KNNImputer or IterativeImputer to Impute the missing values | fancyimpute

Handling Missing Values
KNN Imputer
1. from sklearn.impute import KNNImputer
2. from fancyimpute import KNN

Iterative Imputer
1. from sklearn.impute import IterativeImputer
2. from fancyimpute import IterativeImputer

All Playlist of this youtube channel
==============================

1. Data Preprocessing in Machine Learning
   • Data Preprocessing in Machine Learnin...  

2. Confusion Matrix in Machine Learning, ML, AI
   • Confusion Matrix in Machine Learning,...  

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
   • Anaconda | Python Installation | Spyd...  

4. Cross Validation, Sampling, train test split in Machine Learning
   • Cross Validation | Sampling | train t...  

5. Drop and Delete Operations in Python Pandas
   • Drop and Delete Operations in Python ...  

6. Matrices and Vectors with python
   • Matrices and Vectors with python  

7. Detect Outliers in Machine Learning
   • Detect Outliers in Machine Learning  

8. TimeSeries preprocessing in Machine Learning
   • TimeSeries preprocessing in Machine L...  

9. Handling Missing Values in Machine Learning
   • Handling Missing Values in Machine Le...  

10. Dummy Encoding Encoding in Machine Learning
   • Label Encoding, One hot Encoding, Dum...  

11. Data Visualisation with Python, Seaborn, Matplotlib
   • Data Visualisation with Python, Matpl...  

12. Feature Scaling in Machine Learning
   • Feature Scaling in Machine Learning  

13. Python 3 basics for Beginner
   • Python | Python 3 Basics | Python for...  

14. Statistics with Python
   • Statistics with Python  

15. Sklearn Scikit Learn Machine Learning
   • Sklearn Scikit Learn Machine Learning  

16. Python Pandas Dataframe Operations
   • Python Pandas Dataframe Operations  

17. Linear Regression, Supervised Machine Learning
   • Linear Regression | Supervised Machin...  

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
   • Interview Question for Machine Learni...  

19. Jupyter Notebook Operations
   • Jupyter and Spyder Notebook Operation...  

20. Logistic Regresion in Machine Learning, Data Science
   • Logistic Regression | Classification ...  

21. Learn Microsoft Excel Basics
   • Microsoft Excel 2019, 2016, 2013, 201...