$3.$ You are given a dataset named $4353)$ from a retail company with the following features:

$$ CustomerID: Unique identifier for each customer

$$ Age: Age of the customer

$$ Gender: Gender of the customer $($Male$/$Female$/$Other$)$

$$ Income: Annual income of the customer

$$ PurchaseAmount: Total amount spent by the customer in a year

$$ ProductCategory: Category of the product purchased $($e$.$g$.,$ Electronics, Clothing, Food, etc.$)$

$$ PurchaseFrequency: Number of purchases made by the customer in a year

Your task is to analyze this dataset to extract meaningful insights and answer the following questions:

$1.$ Data Preprocessing $15$

a$.$ Describe the steps you would take to clean and preprocess this dataset.

b$.$ Identify any missing or inconsistent data and explain how you would handle them.

$2.$ Exploratory Data Analysis $15$

a$.$ What visualizations would you create to understand the distribution of Age and Income?

b$.$ How would you analyze the relationship between Gender and PurchaseAmount?

$3.$ Customer Segmentation $10$

a$.$ Describe the clustering algorithm you would use and explain your choice.

b$.$ After clustering, what metrics would you use to evaluate the effectiveness of your segmentation?

$4.$ Predictive Modeling $30$

a$.$ Assume you want to predict the PurchaseAmount based on other features. Which regression algorithm would you choose and why?

b$.$ What metrics would you use to assess the performance of your predictive model?

c$.$ How would you handle overfitting in this context?

$5.$ Ethical Considerations $10$

a$.$ Discuss any ethical concerns that might arise from using this dataset for data mining.

b$.$ Suggest best practices for ensuring data privacy and security when analyzing customer data.

Instruction

$$ Answer each section in detail, providing code snippets or pseudo$-$code where applicable.

$$ Justify your choices with appropriate reasoning and examples from the dataset.

$$ Show all necessary calculations and provide explanations for any assumptions made.