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.
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
Description: A natural language processing (NLP) project that classifies movie reviews as positive or negative using machine learning techniques.
- Technologies: Python, NLTK, Scikit-learn, Pandas, Matplotlib
- Category: NLP & Sentiment Analysis
- Repository: movie-reviews-sentiment-analysis
- GitHub Link: View Project
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
- Clone the repository:
git clone https://github.com/yakupzengin/datascience-ml-projects.git
- Navigate to the desired project folder:
cd employee-performance # or any other project folder
- Run the project as per the instructions in each folder's README.
Yakup Zengin
Data Science & Machine Learning Enthusiast
📫 Contact: GitHub Profile