datamaniac03 Goto Github PK

-project-1-2-classification-of-accidents-in-r

aaa2011-tweets

R code for analyzing tweets relating to #AAA2011 (text mining, topic modelling, network analysis, clustering and sentiment analysis)

adzunacompetition

Adzuna Job Salary Prediction

age-period-cohort

Age-Period-Cohort Analysis of the Decline of Violence in México

analytics-vidhya-hackathon-customer-worth-to-a-bank-

XGB model for predicting Customer worth to a bank

apartment-finder

A Slack bot that helps you find an apartment.

asa-sections

Some plots of ASA section revenue and membership for 2014

awesome-customer-analytics

A curated list of awesome customer analytics content

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

bagofwords

The Kaggle Bag Of Words tutorial

bike-sharing-demand---kaggle

Solution to the Kaggle knowledge problem - Bike Sharing Demand

btyd

fixed BTYD, the R package for customer lifetime value

car-sales-git

cci

Workshop for Deloitte's Center for Customer Insights

cdr_analysis_using_k_means_with_r

Call Detail Record (CDR) is the information captured by the telecom companies during the Call, SMS and Internet activity. These information’s provides insights about the customer needs when it is used with customer demographics. Most of the telecom companies using call detail record information in the fraud detection by clustering the user profiles, Customer churn by usage activity and targeting the profitable customers by using RFM analysis.

cl-fin-fraud

UChicago Harris City Lab Finance Fraud Detection

clv

Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)

cohortmethod

An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.

collaborative_filtering

Collaborative Filtering using R

corenlp

Wrappers around Stanford CoreNLP Tools

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

creditscoring

Petit example of credit scoring analysis

customer-analytics

Customer Analytics with R

customer-analytics-1

customer-data-analytics

A brief Project displaying an array of data science skills

customer-insights-fraud-detection

A customer analysis project in which CRM data was analyzed to harness customer insights, identify fraudulent activities, to propose recommendations to mitigate losses to the company.

customer_attrition_model

Data Mining Course Final Project. The dataset is customer transactions from an Ecard company. The goal is to build a model to predict whether their customers will leave within the next 3 months.

customer_behaviour_prediction

Customer Behaviour prediction application designed using SVM

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

customerchurn