Data Science Project: Predicting Home Prices data analysis, Data preprocessing, machine learning predictions
data analysis and data visulaization find insights apply data preprocessing for machine learning model training
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scatter plot
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outlier removal
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feature engineering
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data cleaning
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feature selection
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dimensionality reduction
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one hot encoding
Algorithms and training:
- regression
- decision tree
- support vector machine
- random forest
Finalizing:
- cross validation
- saving model with pickle file