ICP 5 - saikalyan552/CSEE5590-490-Python-and-Deep-Learning-Programming GitHub Wiki

NAME: Vytla Sai Kalyan

CLASS ID: 24

TASK1-

Here we are importing pandas,matplotlib, Seabourn and then we are reading the data set that is college stored in CSV. We are using the pan to import the columns that are 3,4,7 and 8 there is a column that we are important we are comparing it against the last column so it gave -7. then we are seeing how many samples we have in each species. Given university as a column so this is the main column and we are taking two columns. We are taking 4 columns two of each like accept enroll and f undergrad and p undergrad. Plotting a graph with those vs the last column in the given CSV file and then we standardized the columns with the preprocessing. We sent the standardized data i.e x_scale to K-means clustering. Now we do the clustering for below data using the code.

TASK 2-

Now for the given data, we calculate the SLI, HOU, ett score using the below code.