Looking for a clean, well-structured dataset optimized for Machine Learning or Data Analysis? Messy data with missing values, duplicates, or outliers can ruin your model's accuracy. I will clean and transform your raw data using Python.
What I Offer:
- Data Cleaning: Handling missing data (NaN/null), removing duplicates, and fixing incorrect data types.
- Outlier Detection: Finding and managing outliers using Z-score or IQR.
- Data Preprocessing: Feature Scaling (Normalization/Standardization) and handling categorical data (One-Hot/Label Encoding).
- EDA: Finding patterns and correlations in data.
- Formats: Clean data in CSV, Excel.
Tools & Libraries:
- Python (Pandas, NumPy)
- Scikit-Learn
- Matplotlib & Seaborn
Why Choose Me?
- Professional, clean, and well-commented Python code (Jupyter Notebook).
- Fast response & on-time delivery.
- Unlimited revisions for your satisfaction.
Please contact me and share your requirements before placing an order!