Data Preparation Techniques Project
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Pandas, Numpy, Matplotlib, Sklearn
This project was completed for the data preparation techniques course. In this project different data preparation techniques were applied such as -
- Dataset Presentation
- Data Cleaning
- Data scaling pre-assessment
- Handling missing data and outliers
- Supervised Learning problem design and experimentation
Group Members:
- Mehadi Hassan
- Hridita Tabassum