What are the steps for wrangling and cleaning data before applying machine learning algorithms?
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Answer / Laxman Singh
1. Data Collection: Gathering relevant datasets for analysis.
2. Data Integration: Combining datasets from various sources into a single dataset.
3. Data Transformation: Converting the collected data into a format that's suitable for analysis, such as normalizing or aggregating data.
4. Data Cleaning: Identifying and correcting errors, missing values, or inconsistencies in the dataset.
5. Data Reduction: Dimensionality reduction techniques to reduce the complexity of large datasets.
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