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Basic Data Science Projects

Welcome to my collection of basic data science projects. This repository contains Python implementations of various machine learning models, along with their associated datasets and exploratory notebooks.

About Me

I am an AI student enthusiast preparing for IOAI (International Olympiad in Artificial Intelligence).

This repository serves as a portfolio of my learning journey and preparation for the competition.

Repository Structure

The project is organized as follows:

  • projects/: Contains individual data science projects.
    • bank-marketing/: A project analyzing bank marketing campaign data.
    • house-price-prediction/: A project focused on predicting house prices using advanced regression techniques.
  • data/: Datasets for each project (located within project subfolders).
  • notebooks/: Jupyter notebooks with model code and analysis.

Tech Stack

  • Language: Python 3.x
  • Libraries: pandas, scikit-learn, numpy, matplotlib, seaborn

Getting Started

  1. Clone this repository.
  2. Install dependencies:
    pip install -r requirements.txt
  3. Navigate to a project folder and open the Jupyter notebook to see the analysis and model.

Created with passion for AI and Data Science.

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