AI the Super Future

Design your career as per Industry 4.0 


pynumber: 1

create 2D numpy  based array with given conditions:

i)   take input from user in terms of dimension like (3x2 or 6x7)
ii)   fill this numpy array with random number
iii)  store this array in a file

pynumber: 2

create a numpy array of  8x2 as having number  in each cell between 100 and 200 such that difference between each element is 5 


data_visualization: 1

visualize data graphs 
i)  take input from  a file where you have 4 rows and 5 columns
ii)  columns having - student_name , marks , age , contact , study_hours
iii)  visualize this data as pie chart
iv)  file name must  student.csv with all column separated by ','



data_visualization: 2:

plot  graphs given below in python3 with following data

i) calculate the internet speed from any web site you want
ii)  graph the result as guage graph
iii) it must move as per the speed changes


data_visualization: 3 

use this data from pandas

i)  data source  http://13.234.66.67/summer19/datasets/bank.csv
ii)  read this data by pandas
iii)  plot all the possible graphs
iv) use all possible combination of  all columns


data_visualization: 4 

write the code will follow conditions

i)   scrape data of  the url  https://en.wikipedia.org/wiki/Machine_learning
ii)  count  all the words after scraping
iii) plot the pie and bar plot of top 20 repeated words
iv)  plot scatter graph of  all the words having presence more 3 times  in scraped data
v)   show stack plot of all the links that are present in above URL



supervised machine learning 1:

write supervised  machine learning code to predict minimum death
Note:  find data of titanic from kaggle or any relevant datasource

apply supervised machine learning with your choice of classifier



computer vision #1:

1. take  two image of same dimension
2.  cut the same part of image and replace it with each other
3.  replace some random with 10 rows and 20 columns


computer vision #2:

1.  zoom out a particular area of any image
2.  except that particular area zoom out the rest part
3.  merge two image in a single window


computer vision #3:

1. find the difference between two images
2. add two image and make a single image


NLP problem #1:

1.  take picture of a news paper of any wall paper by opencv 
2.  extract  text only from  their  
3.  save all these text in row format into a file like , csv , pdf 
4.  apply stopwords removal and count most frequent words
5.  plot graph of the same 

NLP  problem #2 : 

1.   take reviews of any of the make my trip application
2.   process them with NLP 
3.   find  the sentiment about those reviews
4.   recommend the similar app that  can provide the same

NLP  problem #3:

1.  extract email from gmail or any other smtp server
2.   pick the body part of email and save into a file
3.  apply NLP here 
4.  use stemming  to decide the spam and ham about email
5.  if it is spam the you can delete it 
6.  run this problem 5 times in a day and analyse  number of spam and ham 
7.  pick top 10 email only in each time 
8.  make sure you are running  program in 5 different times 
9.  plot the graph of success of the program and spam , ham count as well

Polynomial Regression Problem #1:

1.   Scrape this histroy of the player 
2.   choose batsman and find run score by bats man in every inning
3.   maintain the list of number balls and number of runs 
4.   now create a polynomial or linear model 
5.   create a polynomail based model so that it can be decided on average number of balls how many runs will be scored by any batsman.