Title: Projects for Data Analysis and Data Modelling Tools used: Python, Seaborn, Numpy, Pandas, Matplotlib, Sci-kit Learn, Stats model Software used: Jupyter Notebook
- In each projects above, I have mentioned the ojbective at the start of the case study.
- I have used Python for Data cleaning --> Data processing --> Data manipulation --> Data integration --> Data Modelling --> Final prediction/ Recommendations
- Insights have been visualised using Seaborn and Matplotlub library
- Most of the data is a csv file.
- I an unable to share the data here due to privacy and terms.