Statistics with Python | Machine Learning | Probability Mass Function with Python - P7

Statistics with Python | Machine Learning | Probability Mass Function with Python - P7
#statistics #probabilitymassfunction #pmf #technologycult

Topic to be covered - Probability Mass Function (pmf)

Code Starts Heere
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import pandas as pd

list1 = [1,1,6,3,2,3,4,2,3,5,5,6,5,5,5,5,5,2,2,3,3,5,2,2,5,6,2,2,2,3,6,6,2,4,3,2,3]

df = pd.DataFrame(list1)

df1 = df[0].value_counts()

sum1 = len(df)

df2 = pd.DataFrame(df1)

df2['probability'] = df2['item_counts']/sum1

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 Interiew Questions

19. Jupyter Notebook Operations

[MS-cszd]

I am new to this, just want to know, why didnt you use binom.pmf(x, n, p) function here?