This repository contains my learning projects, practice work, and experiments in data analytics.
It documents my journey as I build skills in data cleaning, analysis, visualization, and machine learning.
👉 For polished, end-to-end projects, check out my main portfolio: data-analytics-portfolio
- Practice projects from courses and self-learning
- Exploratory data analysis (EDA)
- Machine learning fundamentals
- Small experiments and concept testing
- Languages: Python, SQL
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
- Concepts: Data Cleaning, EDA, Visualization, Basic ML
This repo is focused on learning and growth, not polished production work. It shows how I experiment, make mistakes, and improve over time.
- 💼 LinkedIn: https://www.linkedin.com/in/usaid7/
- 📧 Email: hiusaidk@gmail.com