Question
https://drive.google.com/file/d/16fD2AwPmfpfZ8jnkwAEVBrxxON94tobI/view?usp=sharing Fish Market data sheet - Machine Learning Data Pre-processing and cleaning 1. Apply appropriate feature engineering techniques for them. Apply the feature transformation techniques
https://drive.google.com/file/d/16fD2AwPmfpfZ8jnkwAEVBrxxON94tobI/view?usp=sharing
Fish Market data sheet - Machine Learning
Data Pre-processing and cleaning
1. Apply appropriate feature engineering techniques for them. Apply the feature transformation techniques like Standardization, Normalization, etc. You are free to apply the appropriate transformations depending upon your datasets structure and complexity. Provide proper justification. Techniques used without justification will not be awarded marks. Explore few techniques for identifying feature importance for your feature engineering task.
2. Do the appropriate pre-processing of the data like identifying NULL or Missing Values if any, handling of outliers if present in the dataset, skewed data etc. Mention the pre-processing steps performed in the markdown cell. Explore few latest data balancing tasks and its effect on model evaluation parameters. 2
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