GitHub / aadimangla / Predicting-product-sales-through-ads

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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aadimangla%2FPredicting-product-sales-through-ads

Topics: classification-models, data-analysis, data-analytics, decision-trees, knn-classification, logistic-regression, naive-bayes-algorithm, predictive-modeling, random-forest, svm-classifier

Files

No dependencies found