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Performed feature selection using heatmap, feature-importance & select k-boost. Then fitted the data using random forest and did hyperparameter tuning.

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Ayushi22jain/Flight-Price-Predection

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Flight-Price-Predection

In this I have first described the data to check the statistical value.

Then used pandas,numpy,matplotlib,seaborn to visualize the data.

Did EDA to convert time stamp.

Handled categorial data using nominal and ordinal forms & performed one hot encoding and label encoding

Plotted the graph using sns plot to check any outlier.

Performed feature selection using heatmap, feature-importance & select k-boost.

Fitted the data using random forest and did hyperparameter tuning.

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Performed feature selection using heatmap, feature-importance & select k-boost. Then fitted the data using random forest and did hyperparameter tuning.

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