π― Data Science & Machine Learning
π Learning by building, experimenting, and improving every day
- π± Currently learning Data Science & Machine Learning
- π Working mainly with Python
- π Interested in data analysis, visualization, and predictive models
- π Goal: Become a skilled data scientist and work on real-world problems
- π Practicing Exploratory Data Analysis (EDA)
- π§Ή Improving skills in Data Cleaning & Preprocessing
- π Building beginner-friendly Machine Learning models
- π§ Understanding the why behind ML algorithms
- ποΈ Working with real-world datasets
Languages
- Python
Libraries & Frameworks
- NumPy
- Pandas
- Matplotlib / Seaborn
- Scikit-learn
Tools
- Pycharm
- Jupyter Notebook
- Git & GitHub
- VS Code
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Machine Learning Basics
- GitHub: @saadb-asad
- LinkedIn: SaadBinAsad
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