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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.