Merge pull request #703 from Sgvkamalakar/main

Term Deposit Predcition
abhisheks008 · Jul 12, 2024 · e998399 · e998399
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diff --git a/Term Deposit Prediction/Dataset/README.md b/Term Deposit Prediction/Dataset/README.md
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+The dataset used in this project is related to a bank marketing campaign, containing various client attributes and the outcome of the marketing campaign.
+
+You can download the dataset from the following sources:
+
+- Kaggle Dataset: [Bank Marketing Dataset](https://www.kaggle.com/datasets/henriqueyamahata/bank-marketing/data)
+- Direct Download: `dataset.csv`
diff --git a/Term Deposit Prediction/Dataset/dataset.csv b/Term Deposit Prediction/Dataset/dataset.csv
diff --git a/Term Deposit Prediction/Images/README.md b/Term Deposit Prediction/Images/README.md
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+1. **Age Distribution**:
+    - Most clients are in the age range of 30-40 years.
+    - Age distribution is visualized using a pie chart.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/2c7fae04-f030-4e9c-b3e3-e621390a6d2d)
+
+
+2. **Job Distribution**:
+    - The most common job types are blue-collar, management, and technician.
+    - Job distribution is visualized using a bar chart.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/b0d6a595-40c0-46f5-9b2f-3b2ac2728097)
+
+
+3. **Education Level**:
+    - Most clients have a university degree, followed by high school education.
+    - Education distribution is visualized using a bar chart.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/11d9f16c-7233-4e3d-b7d4-21e387123f92)
+
+
+4. **Loan Status**:
+    - Majority of clients do not have personal loans, housing loans, or defaults.
+    - Loan status distribution is visualized using a pie chart.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/a14127e0-d8fc-4b78-a9ad-9d573d0ef489)
+
+
+5. **Marital Status**:
+    - Most clients are married, followed by single and divorced.
+    - Marital status distribution is visualized using a pie chart.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/2de201d4-a4d4-4d4a-8b39-587068057977)
+
+
+6. **Contact Type**:
+    - The preferred contact type is cellular.
+    - Contact type distribution is visualized using a histogram.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/e6de612d-8229-4aef-93f3-2abcd6ce78a7)
+
+
+7. **Call Duration**:
+    - Total call duration peaks in certain months and days of the week.
+    - Call duration by month and day is visualized using line charts.
+
+
+    <div align='center'>
+    <img src='https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/720037be-9dec-412c-9fd2-657298bac6c9' width=600/>
+    <img src='https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/82dea548-9d84-479f-9791-f713fcb718a2' width=600/>
+    </div>
+
+8. **Correlation Analysis**:
+    - Heatmap reveals the correlation between numerical features.
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/2b5505c4-b4c4-4a43-bfe0-87065db6f15a)
+
+
+9. **Models Performance Comparision**:
+
+    ![image](https://github.com/Sgvkamalakar/Sgvkamalakar/assets/103712713/8ecf69f4-e2da-4ead-8683-0ce3c14ad324)
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