LinearRegression model VS Ensembling (DT|SVM|LinReg)

1)Drop features with > 0.05% null elements

2)Fill NA elemements (separate for num & cattegorial features)

3)Plot corr matrix & drop features with low correlation with target

4)Get dummies

5)Scale

6)Use simple LinearRegression

7)Take your RMSE = 0,30664 (It will be better with some bagging in next notebook)

This notebook in process. On the 'last' stage.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Prediction of House Prices.ipynb		Prediction of House Prices.ipynb
Prediction_Bagging&DTR_Ensembling.ipynb		Prediction_Bagging&DTR_Ensembling.ipynb
data_description.txt		data_description.txt
readme.md		readme.md
sample_submission.csv		sample_submission.csv
test.csv		test.csv
train.csv		train.csv

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