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Name: nnaemeka
Type: User
Bio: Data science, Business Analytics
Name: nnaemeka
Type: User
Bio: Data science, Business Analytics
Generate and upload data to HDFS/S3 in a file directory. Then aggregate daily global stock in different DB, providing ability to Browse data available.
Create Cloud relational database and assigned security group with filtered inbound traffic then allowing the Visualisation tool(Tableau) connect seamlessly.
Analysis of customer lifetime value using three different method.
Predict customer churn with the the aid of Artificial Neural Networks.
## Data Dictionary There are multiple variables in the dataset which can be cleanly divided in 3 categories: ### Demographic information about customers <b>customer_id</b> - Customer id <b>vintage</b> - Vintage of the customer with the bank in number of days <b>age</b> - Age of customer <b>gender</b> - Gender of customer <b>dependents</b> - Number of dependents <b>occupation</b> - Occupation of the customer <b>city</b> - City of customer (anonymised) ### Customer Bank Relationship <b>customer_nw_category</b> - Net worth of customer (3:Low 2:Medium 1:High) <b>branch_code</b> - Branch Code for customer account <b>days_since_last_transaction</b> - No of Days Since Last Credit in Last 1 year ### Transactional Information <b>current_balance</b> - Balance as of today <b>previous_month_end_balance</b> - End of Month Balance of previous month <b>average_monthly_balance_prevQ</b> - Average monthly balances (AMB) in Previous Quarter <b>average_monthly_balance_prevQ2</b> - Average monthly balances (AMB) in previous to previous quarter <b>current_month_credit</b> - Total Credit Amount current month <b>previous_month_credit</b> - Total Credit Amount previous month <b>current_month_debit</b> - Total Debit Amount current month <b>previous_month_debit</b> - Total Debit Amount previous month <b>current_month_balance</b> - Average Balance of current month <b>previous_month_balance</b> - Average Balance of previous month <b>churn</b> - Average balance of customer falls below minimum balance in the next quarter (1/0)
eneka cv
Contains my progress in the learning of Apache Airflow.
The project shows the German openShufa data analysis using clustering in R.
A-B testing for marketing campaign performance. Is there a lift, if so is the value statistically significant?
In this project RFM will be used on the superstore data set from Tableau to explore the customer buying behaviour. the RFM(- Recency, Frequency and Monetary)value is used to get the customer ranking. An automated email will send to different categories of customer to revive an improve sales.
A complete photo classification solution, that classifies potato leaves.
Classify customers using their Recency value, frequency of purchase, and total monetary value of orders.
shell
As a requirement for investment, analysis is needed in a new form of transportation. They are considering making an investment in a new form of transportation - JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! While JetRail has mastered the technology and they hold the patent for their product, the investment would only make sense, if they can get more than 1 Million monthly users with in next 18 months. You need to help Unicorn ventures with the decision. They usually invest in B2C start-ups less than 4 years old looking for pre-series A funding. In order to help Unicorn Ventures in their decision, you need to forecast the traffic on JetRail for the next 7 months. You are provided with traffic data of JetRail since inception in the test file.
Prescriptive analysis of wish sales data.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.