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Solved Issues #2,#3,#4,#6,#7 #8

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NeonKazuha
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#2 . Maximized Accuracy using Multiple Machine Learning Model.

  • Random Forest Regressor, SVR, etc. are some of the models used to find the R2 score and the mean absolute error on the tes-
    ting set after training them on the training set. This has been done using GridSearchCV and pipeline.
    Screenshot 2024-03-15 055513

#3 . Implemented Feature Scaling and Normalization:

  • This has been done in order to constrain all the values between 0 and 1 in every feature.
    Screenshot 2024-03-15 060640

#4. Data Preprocessing and removing outliers.

  • Outliers in the data set are found using BoxPlot from the seaborn library and then removed by finding out Interquartile Range.
  • Data Preprocessing has also been performed by using Feature Scaling to constrain all the values between 0 and 1.
    Screenshot 2024-03-15 061218

#6 . Visualizing Feature with Target Variable:

  • A heatmap of Correlation Matrix has been used to devise the relationship between the target feature and other features.
    Screenshot 2024-03-15 061438

#7 . Applying Various Cleaning Techniques:

  • Label Encoding is used to convert Categorical data into Numeric Data.
  • Used SimpleImputer to fill Na values in features with the median of the values of that feature.
  • Converted the 'year' feature to 'years_old' that conveys the age of the wine.
  • Dropped several features that had extremely low correlation with the target feature with the help of Correlation matrix.

@NeonKazuha
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@darshbaxi @rootCircle Please Review.

@darshbaxi darshbaxi added the invalid This doesn't seem right label Mar 15, 2024
@darshbaxi darshbaxi closed this Mar 15, 2024
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I've closed this PR because it addressed multiple issues simultaneously. For better tracking and clarity, each issue should ideally have its own separate PR.

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