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Shubham Jha's Projects

advertisement_click_recommendation icon advertisement_click_recommendation

In this project we will be working with advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model based on Logistic Regression that will predict whether or not they will click on an ad based off the features of that user.

black-friday-eda-and-feature-engineering icon black-friday-eda-and-feature-engineering

This notebook consists of EDA and Feature Engineering on multiple categorical features of an E-Commerce dataset which could be used to predict customer purchase behavior.

customer-revenue-prediction icon customer-revenue-prediction

Deep learning model using TensorFlow and Keras to predict whether a cutomer will generate revenue based on browsing pattern on the website.

e-commerce-seller-acquisition-identification icon e-commerce-seller-acquisition-identification

To sanitize and analyze the data to profile the sellers present and develop selection criteria to identify the best or most promising sellers in this dataset, that the Acquisitions team at any company should reach out to, and acquire. The model used Kmeans clustering and Heirarchical clustering to identify sellers targets for acquisition.

ecommerce_mobile_vs_web_recommendation icon ecommerce_mobile_vs_web_recommendation

The following experiment based on Linear Regression will assist in deciding whether a business should focus their efforts on their mobile app experience or their website based on customer browsing and spending pattern.

zomato_geospatial_analysis icon zomato_geospatial_analysis

EDA and Geospatial Analysis of 7k restaurants in Bengaluru based on their Cuisine, Cost, Rating, location etc. The purpose of the analysis is to find out the best area of opportunity to set up HoReCa (Hotel,Restaurant,Cafe) business in Bangalore. Also to figure out the competitive cusines and price points to offer to the customers for best turnover.

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