1) Automatically open web url using Selenium- get chrome driver from here- https://chromedriver.storage.googleapis.com/index.html?path=80.0.3987.106 place the chrome driver in user/username/bin location from selenium import webdriver browser = webdriver.Chrome(executable_path = '/Users/abcarp/bin/chromedriver') browser.get('https://in.linkedin.com/') sleep(10) browser.close() 2) Automatically login to Linkedin and do some action using selenium- from selenium.webdriver.common.keys import Keys # url of LinkedIn url = "https://www.linkedin.com/login?fromSignIn=true&trk=guest_homepage-basic_nav-header-signin" # path to browser web driver driver = webdriver.Chrome( '/Users/esisarp/bin/chromedriver') driver.get(url) # getting the user-name element username = driver.find_element_by_id("username") # Sending the keys for username username.s...
XAI( Explainable AI ) is grabbing lime-light in machine learning. How can we be sure that image classification algo is learning faces not background ? Customer wants to know why loan is disapproved? Globally important variable might not be responsible/ imp for individual prediction. Here XAI comes to rescue- We have taken data from classification_data This has some sensor values and an output class. A) Data Explainability - what are the basic understanding required from data perspective. 1) Identify missing values, co-linear feature, feature interaction, zero importance feature, low important feature, single value feature and handle missing values, remove/ handle features accordingly. 2) Missing values- no missing values from data description 3) No good correlation between variables- can be seen from correlation plots 4) ...
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