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shorted-data-
shorted-data- Public1.Import the dataset and explore basic info (nulls, data types). 2.Handle missing values using mean/median/imputation. 3.Convert categorical features into numerical using encoding. 4.Normalize/stan…
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task2-data-
task2-data- PublicGuide: 1.Generate summary statistics (mean, median, std, etc.). 2.Create histograms and boxplots for numeric features. 3.Use pairplot/correlation matrix for feature relationships. 4.Identify patte…
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task3data
task3data Public1.Import and preprocess the dataset. 2.Split data into train-test sets. 3.Fit a Linear Regression model using sklearn.linear _ 4.Evaluate model using MAE, MSE, R² . 5.Plot regression line and inter…
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