Python for Machine Learning | Iterate over Column of a Pandas Dataset - P11

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Topic to be covered :
1. How to iterate over column of a Pandas Dataframe

All Playlist of this youtube channel
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1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

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

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics

19. Jupyter Notebook Operations

20. Logistic Regresion in Machine Learning, Data Science

21. Learn Microsoft Excel Basics
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excellent tutorial for the beginners ....
fantastic work ...

sumitmishra
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How do I provide a set of column range , say columns starting from the 4th column till last.

SD-eehx
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We added a new column earlier by code :
dataset['Col1']=dataset['Sex'].replace('male', 'Man')
Why can't we simply add new column by code df['Upper Case']= df['Name']. upper()

shubhamagrawal
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Hi,

Can you please tell what is 'x' in -> df['Name'].apply(lambda x: x.upper())

can we write -> df['Name'].apply(lambda 0: 3.upper()) ??

Thanks

renubhandari