π₯ What It Does: β Handles Missing Values β Mean, Median, KNN Imputation β Removes Duplicates β Ensuring unique, high-quality data β Detects & Removes Outliers β IQR, Z-score, Isolation Forest β Encodes Categorical Data β Label Encoding, One-Hot Encoding β Scales Numeric Features β MinMaxScaler & StandardScaler β Cleans Text Data β Stopwords removal, Lemmatization β Standardizes Date Formats β No more inconsistent timestamps
π¨ User Interface Features: πΉ Upload raw datasets in CSV format πΉ Get a step-by-step summary of cleaning operations πΉ Download the cleaned dataset with a detailed report πΉ Real-time preprocessing visualization