Machine Learning

 Lab : 

Data PreProcessing: 

https://colab.research.google.com/drive/1Tu_SEyVLG2DnRqHQ3qZLXKAJEHSwlCt8?usp=sharing 

 PANDAS SERIES PRACTICE LINK:

https://colab.research.google.com/drive/1qiYvvEyinxzbVo2OuzTsxbznPQjrqefq?usp=sharing

employee.csv

1. lab task on employee:

https://docs.google.com/document/d/1uzXyme4NxOiC-x7u__t1mIH0ifnc-iP1qJzQn09HKAU/edit?usp=sharing

2. Lab Activity:

a) lab activity - data preprocessing

  Additional questions based on the above student file:

   

  i) Display the details of a student for the given roll no as input

  

  ii) Display the details of the topper.

b) Demonstrate the validataion techniques--- i) leave one out(one test out)

                                                                         ii) k-fold cross validation

ML lab activities

Web references:

Data preprocessing with Python Pandas:

https://towardsdatascience.com/data-preprocessing-with-python-pandas-part-1-missing-data-45e76b781993

Data standardization:

https://www.geeksforgeeks.org/how-to-standardize-data-in-a-pandas-dataframe/

Data Normalization:

https://www.geeksforgeeks.org/data-normalization-with-pandas/