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This repository contains multiple projects focused on data science, machine learning, and artificial intelligence

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yakupzengin/datascience-ml-projects

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Data Science & Machine Learning Projects

This repository contains multiple projects focused on data science, machine learning, and artificial intelligence. Each project includes data preprocessing, exploratory data analysis (EDA), model development, and deployment strategies.

Projects

1. Employee Performance Analysis & Prediction

Description: This project analyzes and predicts employee performance scores using machine learning models.

  • Technologies: Python, Scikit-learn, Pandas, Matplotlib, Seaborn, Streamlit
  • Category: Predictive Analytics
  • Repository: employee-performance
  • GitHub Link: View Project

2. Movie Reviews Sentiment Analysis

Description: A natural language processing (NLP) project that classifies movie reviews as positive or negative using machine learning techniques.


3. Olympic Games Historical Data Analysis

Description: A comprehensive analysis of 120 years of Olympic history (1896-2016), covering athlete demographics, performance trends, and medal distributions.

  • Technologies: Python, Scikit-learn, Pandas, Matplotlib, Seaborn
  • Category: Data Science & Analysis
  • Repository: olympics
  • GitHub Link: View Project

How to Use

  1. Clone the repository:
    git clone https://github.com/yakupzengin/datascience-ml-projects.git
  2. Navigate to the desired project folder:
    cd employee-performance  # or any other project folder
  3. Run the project as per the instructions in each folder's README.

Author

Yakup Zengin
Data Science & Machine Learning Enthusiast

📫 Contact: GitHub Profile

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This repository contains multiple projects focused on data science, machine learning, and artificial intelligence

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