Data Analysis Projects
Project Summary (Python)
- Analysed and generated in-depth insights from Samsung Health Data
- Organized, cleaned and manipulated data to discover key patterns
- Merged multiple data sets to find correlations between parameters
- Advanced data visualization using Seaborn
Project Summary (Python)
- Analysed compostions of different types of glass
- Visualized key relations among data
- Used machine learning to predict type of glass based on composition
Project Summary (SQL, Python)
- Worte SQL qwueries to investigate and sort data with SQlite3.
- Used Python to extract data from a large SQL database.
- Cleaned, filtered and combined multiple dataframes using Pandas
- Data Analysis and Data visualiztions on key insights
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