Lab Key Python Lib.ipynb

Kernel: Python 3 (ipykernel)

Ques 1(a): Solve following using Numpy:

• Add, multiply and divide following seqence: a=[[1,2],[3,4]] , b = [[34,67] , [45,66]]

import pandas as pd
cp = pd.read_excel(r"CompanyDetails.xlsx")
cp.head()

Q1- ## Analyze given data set using Key Python Libraries (Company Details)

• Check data shape

• Describe data

• Check for null values and drop null values or replace it

• Drop colums that you find unnecessary

• Generate Visualization report for this data

Create Visualization for following :

• What is revenue distribution for Bekins in 2005

• What is the growth% for Data/Technology in 2006

• What is the Revenue distribution for Education in 2005

• What is number of companies in Each industry

• Draw a correlation plot to check on feature realtionship.

Ques 2: Use Diabetic data Set to evaluate accuracy using:

1- Logostis regression 2- KNN 3- SVM

Ques 3- Use Digits data set to evaluate digits prediction using Tensorflow Keras