Cumberlands Portuguese Banking Institution Marketing Campaigns Paper Research paper needs to be 10-15 pages with at least 10 references, with Abstract, int

Cumberlands Portuguese Banking Institution Marketing Campaigns Paper Research paper needs to be 10-15 pages with at least 10 references, with Abstract, introduction and conclusion.

Please use the follow data sets for the R visualizations. please use the relevant visualizations screen shots in the paper.

Data Sets:

https://www.kaggle.com/henriqueyamahata/bank-marketing#bank-additional-full.csv

https://archive.ics.uci.edu/ml/datasets/Bank+Marketing

Supervised Learning

•Regression
–Linear Regression
–Multiple Regression
–Polynomial Regression
–Decision Tree Regression
–Support Vector Regression
•Classification
–Naïve Bayes
–Logistic Regression
–Decision Trees
–KNN
–Support Vector Machine
–Random Forest
–XG Boost
–Artificial Neural Networks

See if this helps:

Bank Marketing Data sets:

A Data-Driven Approach to Predict the Promotions and Offers success in Bank marketing. A detailed analysis will be performed by comparing the year (from May 2008 to November 2010) data. The past data will be used to analyze/predict our future data.

We are performing a campaign through various marketing techniques, which helps us to collect and store customers information. Based on the data that is available we can statistically analyze how the promotions and offers benefit the organization. We use these data sets to visualize using R programming language. Food/Beverage Service
Location: Building 8 – 2nd Floor
Agenda – Overall
Friday
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Introductions
Project Review
Dataset Selection
Group Planning Session (I will spend 1015mins with each group)
Q&A Session
Saturday
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A Deeper Look: R Language
Group Work
Q&A Session
Sunday
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Group Presentations (15 – 20 mins)
Q&A Session
Wrap Up
Residency Assignment – Research: 5 Sections
Example Topic: The impact on student learning in small class sizes in the United States
Dataset: dataset_Star.csv
Resource File: R_The impact on student learning and small class sizes in the United States.pdf
File Location: “Lesson 14” folder in iLearn
**Must be APA formatted**
• Title Page
• Document body with citations
• Reference Page
Residency Assignment – Research: 5 Sections
Section 1: Discuss Topic Background (Citations are required)
Section 2: Data Analysis (R Studio – R language – Library: mosaic)
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Describe the fields of the dataset.
Create a summary of stats for the dataset.
Discuss the Min, Max, Median, and Mean of the continuous fields.
Discuss the Counts and Percentages of the categorical fields. (ex. Pie Chart)
Discuss any missing data elements.
Residency Assignment – Research: 5 Sections
Section 3: Data Visualizations (R Studio – R language – Library: ggplot2)
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Graphs: Bar Plot, Box Plot, Scatter Plot, and Histogram
Label: X-Axis, Y-Axis, and Titles
Discuss: Plot, Breakout, Drilldown, and Position (only Bar Plot)
Findings: What story is presented in the visualizations?
Residency Assignment – Research: 5 Sections
Section 4: Discuss Findings (Citations are required)
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Compare (Similar)
Contrast (Difference)
Articles that Support
Articles that do not Support
Conclusion of the findings
Section 5: Reference List
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At least 8 References (4 must be scholarly peer-reviewed articles)
Residency Assignment – Presentation
Power Point Slides:
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Summarize research
Data visualizations
Applying data mining and machine learning algorithms
Findings
Conclusion
Time: 15 – 20 minutes
Residency Assignment – Topics
Research Topics
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A comparison of health insurance coverage and hours worked by wives in the United States
Preferences for car choice in the United States
The benefits of bio-feedback treatment for migraine headaches
The change in demand for medical care in the United States
The characteristics that give round cut diamonds value
The impact of living standards on medical expenses in Vietnam
The impact of unemployment insurance on blue collar workers in the United States
The impact on student learning and small class sizes in the United States
The results of health reform in German after 1988

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