BFCmath/HousePrice_Kaggle

this dataset is from Kaggle. The problem is about predicting the house price.

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README

House Prices - Advanced Regression Techniques

You can download the dataset here.
Description about the dataset:

  • The data has many features
  • Half of the features are category
  • The number of instance is small (<2000)
  • Many features are rate-based category (Good/Average/Bad)

About my submission:

  • You can track my work in main.ipynb
  • Spend most of the time for Data Analyst
  • First time using sns to plot scatter and boxplot
  • Involved in handling many DataFrame cols
  • Implement data selection for both num and cate features
  • Effectively using corr_matrix to choose features
  • First time implemente ExtraTree to extract features
  • Combined both early stoping and SearchCv to fine tune

about my note:

  • learn more about some new plots
  • some new definitions in statistic
  • scipy

about my remade:

  • apply Graident Boosting
  • skip the data analysis

Contributors

BFCmath

Issues