To check out the project open .ipybn file.

Data Analysis and Machine Learning with Python:

• EDA with ECDF and ANOVA
• Correlation and Regression analysis.
• Data standardisation and Feature engineering.
• Support Vector Regression with scikit-learn including model selection, grid search and feature importance.

Libraries used: numpy, pandas, missingno, matplotlib + seaborn, plotly, statsmodels, scipy and sklearn.