In this project I build Cross-Selling and Product Recommendation system for a Market Basket Analysis

An introduction to an upcoming project to build a movie recommendation engine. The apps in now live! Go check it out at https://ezrasote.shinyapps.io/Demo_Day/

Here we will try to predict `BostonHousing` by Harrison and Rubinfeld (1979) price using linear regression

In this project we will build an automated forecasting model for Scotty - Turkish Online Based Transportation Platform

In this project we will try to predict the churn from the tellecomunication Industry by comparing 3 models : Decision Tree, Random Forest, and GLM.

Predict the pandemic evolution through forecasting from the previous trends.

Create an exploratory data analysis from data to derived strategy in which the company is able to identify customers who are more likely to subscribe.

Here in this brief study, we will try to cluster songs by various factors. Are they somehow similar? What are the similarities between them? And more importantly, is there a way to gather them together based on how they sound?

Identifying risky customers is one way to minimize lender losses. From there, we will try to build model using several classification technique such as Naive Bayes, Decision Tree, and Random Forest.

We would like to see how social-economic conditions could reflect on the crime rate in a state.

Clustering coffee based on their characteristics for product recommendations using unsupervised learning techniques : Principal Component Analysis & K-Means.

Here we will use visualization techniques to gain such insights from the trending videos data

The goal of this research was to predict whether a customer will subscribe to a term deposit.

Conducted a research to analyse the gap between gender in Jobs