3.4 Data Cleaning in Detail [Filling out Missing Data, Smoothing Noisy Data, Data Cleaning Process]
#DataMining #DataPreprocessing #DataCleaning #Binning #Regression #OutlierAnalysis #FillingMissingValues #ShahzadAli
This video presents the Data Cleaning Task of data preprocessing and covers the following points in detail:
Data cleaning tasks:
► Fill in missing values
► Smooth out noisy data
► Identify or remove outliers
► Correct inconsistent data
► Missing (Incomplete) Data
► Techniques to Handle Missing Data?
► Noisy Data
► Techniques to Smooth out the Noisy Data.
► Binning method
► Regression
► Clustering
► Data Cleaning as a Process:
1. Data discrepancy detection
2. Data Transformation
► Integration of the two processes: [Potter’s Wheel ]
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► Association Rule Discovery in Data Mining: https://bit.ly/3d48NLH
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3.4 Data Cleaning in Detail [Filling out Missing Data, Smoothing Noisy Data, Data Cleaning Process]
