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A Minor Project , which I have worked on a classsification Project aimed at predicting whether customers of a bank would subscribe to a term deposit using Data science skills.

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Client Subscription Classification Project

I worked on a classification project aimed at predicting whether clients would subscribe to a term deposit. The highest accuracy I achieved was with the Decision Tree, reaching an impressive 90% accuracy score.

🔍 Project Overview:

The project's goal was to develop machine learning models capable of accurately predicting client subscriptions based on various features. To achieve this, I:

  • Thoroughly explored the provided dataset to understand the underlying patterns.
  • Created and fine-tuned multiple classification models.
  • Evaluated model performance to ensure robust and reliable predictions.

🛠 Technologies and Techniques:

Throughout this project, I leveraged several key tools and methodologies, including:

  • Data Visualization: Utilizing libraries such as Seaborn and Matplotlib to uncover insights from the data.
  • Model Development: Building and evaluating models using techniques like Logistic Regression, Decision Trees, and Random Forests.
  • Prediction and Evaluation: Making predictions on test datasets and using performance metrics to validate model accuracy.

📂 Repository Structure:

  • data/: Contains the dataset used for training and testing the models.
  • notebooks/: Jupyter notebooks with the code for data exploration, model development, and evaluation.
  • results/: Outputs and results from the model evaluations.
  • README.md: Project overview and instructions.

🚀 Getting Started:

  1. Clone the repository: git clone <repository-link>
  2. Navigate to the project directory: cd client-subscription-classification
  3. Install the required libraries: pip install -r requirements.txt
  4. Run the Jupyter notebooks to see the data exploration and model development process.

📄 License:

This project is licensed under the MIT License - see the LICENSE file for details.

📧 Contact:

For any inquiries or feedback, please reach out to lokeshsinha746@gmail.com.


Feel free to explore the code and contribute to the project. Let's continue making data-driven decisions!

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A Minor Project , which I have worked on a classsification Project aimed at predicting whether customers of a bank would subscribe to a term deposit using Data science skills.

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