# ✅ **Complete Summary of the Presentation Content (English Version)**

## **1) Project Title**

**Bank Loan Analysis & Prediction**
Analyzing bank loan data and predicting loan status using machine learning.

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## **2) Overview**

This project analyzes a dataset of **45,000 loan applicants**.
The main goals are:

* Understanding the data
* Identifying key factors that affect loan approval or default
* Building a machine learning model to predict whether a borrower will repay or default

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## **3) About the Dataset**

The dataset contains **14 main features**, divided into:

### **Personal Information**

* Age
* Gender
* Education level
* Annual income
* Employment experience (years)
* Home ownership status

### **Loan Details**

* Loan amount
* Loan purpose
* Interest rate
* Loan-to-income ratio

### **Credit & History**

* Credit history length
* Credit score
* Previous loan defaults (Yes/No)

### **Target Variable**

* **loan_status**:
  **1** → Loan repaid
  **0** → Loan defaulted

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## **4) Data Preprocessing**

The following steps were applied:

1️⃣ Removed duplicate rows
2️⃣ Checked for missing values
3️⃣ Removed outliers using the IQR method
4️⃣ Encoded categorical variables using Label Encoding

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## **5) Model Before Feature Selection**

* All features were used (full dataset).
* A **Random Forest Classifier** was trained on all original features.

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## **6) Model After Feature Selection**

* Used **Chi-Square (SelectKBest)** for feature selection.
* Selected the **top 7 most relevant features**.
* Trained the same Random Forest model using only the selected features.
* This reduced dimensionality and improved efficiency.

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## **7) Model Results (to include in slides)**

* Accuracy **before** feature selection
* Accuracy **after** feature selection
* Confusion Matrix
* Feature Importance chart

(Exact numbers are not provided, so the freelancer will design the slides without specific values.)

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## **8) Team Slide**

* A slide with team member names (no details given)

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## **9) Final Slide**

* “Thank You” closing slide

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