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In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to display ads of its newly launched car.Now since the company relies heavily on the success of its newly launched car it would leave no stone unturned while trying to advertise the car. Well then whats better than advertising it on the most popular platform right now.But what if we only advertise it to the correct crowd.

License: MIT License

Python 100.00%
classification-models data-analysis data-analytics decision-trees knn-classification logistic-regression naive-bayes-algorithm predictive-modeling random-forest svm-classifier

predicting-product-sales-through-ads's Introduction

Hi there 👋

Hey, I'm Aditya, a developer by psyche and soul!

Completed my graduation!!

Now onto my next adventure.

Working as Software Engineer at Wells Fargo, making new connections and memories and lots of learning.

If you want to talk more about website development and AI or machine learning development, or random storytelling ping me up I'm always up for a cup of coffee and good talk.

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