** Build A Model that can detect the Non Human Traffic present in a website!!!**

Why do we need to detect Bots ?

No matter how big your website is, you’re almost guaranteed to receive bot traffic at some point. These bots are often up to a range of different things on your site, from indexing web pages to scraping your content. With so many different bots out there, how can you detect bot traffic on your website? And should you be concerned?

Here are 5 reasons that why do need BOT Detection ?

• Bots can steal your content. You know that content you worked so hard to develop? Your carefully crafted blog posts and pages? All that effort could be wasted in a second if you let bots access your site. Bots can scrape your website for data, information and even pricing in just a matter of minutes. Then, it can be used on other sites, redistributed or even sold for profit in other areas of the web.

• Bots can slow down your site. Bots bog down your site and overwhelm it with inauthentic, fraudulent traffic. This results in slower page load times for your actual paying customers, which could affect their level of satisfaction or even deter them from buying or visiting altogether.

• Bots can threaten your website. Malicious bots can hack your website, insert inappropriate links and content, or even crash your site altogether. This can hurt your traffic, your customers and your sales.

• Bot can take up extra time and money. Many bots spend their time posting spam comments to websites and blogs. While this may not seem like a huge issue, it can be quite frustrating. You’ll have to spend hours each month sorting through these comments to separate the human commenters from the fraudulent ones, which takes you and your resources away from actually running your business. If you don’t remove these spam comments, they end up annoying your readers and possibly leading them away from your site.

• Bots can mess up your analytics. Analytics are hugely important to a website owner. They tell you how your site is performing, where traffic is coming from and what you might want to tweak throughout the site. Unfortunately, if you have a significant amount of bots accessing your site, this can throw your analytics into upheaval. You won’t have a clear picture of your site’s performance or your next steps for improvement, and you won’t be able to tell what’s real and what’s fake.

Get to know!!

About Features!!
ctry_name :: Represent the country name

intgrtd_mngmt_name :: Represent management name it belong to

intgrtd_operating_team_name :: Represent about operating team name

And somehow ctry_name,intgrtd_mngmt_name & intgrtd_operating_team_name doesn't make any sense with respect to our problem statement.

city :: Represent city name

st :: Represent State name

sec_lvl_domn :: Represent Domain name

device_type :: Type of device

operating_sys:: Type of operating system

ip_addr :: Ip of an particular device & this column plays an major role

user_agent :: Explain from which browser user hit the url & version type of user agent

VISIT :: calculate how many time particular ip_address visited an url

ENGD_VISIT :: describe about the engagement about particular ip on url

VIEWS :: calculate number of views from particular ip_address on url

page_url :: This feature is clear to understand ,get some pain at your end & visit,engd_visit & views plays an major role.

wk :: Which week

mth :: Which month

yr :: Which year

page_vw_ts :: calculate user particular time,date & time in hours,minute,sec & micro seconds.

Keep in mind it requires lot of feature engineering & will be releasing an solution notebook so that you can make your hands dirty on this project.