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Data analysis
- In this we see that which feature is corelated with our target variable and also plot the bar plot so that i can know that which variable is affecting our target variable most.
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Feature engineering
- simple data cleaning and handling categorical value in this there was 2 categorical variable department and salary simply i had encode by using labelencoder.
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Model building and prediction
- I had used decision tree and naive byes this two algorithm, Decision tree gives 97% accuracy and Naiye bayes gives 80% accuracy.