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  1. Employee-Attrition Employee-Attrition Public

    Descriptive statistics for numerical and categorical data, treating outliers, univariate and bivariate analysis, heatmap

    Jupyter Notebook 1

  2. diabetes- diabetes- Public

    Detected Outliers, Distribution of each feature, RandomForest, Linear Regression Algorithms

    Jupyter Notebook

  3. Hotel-Bookings Hotel-Bookings Public

    Missing value treatment, EDA process, Feature engineering, Descriptive statistics to find outliers, Hypothesis testing, RandomForestClassifier

    Jupyter Notebook

  4. youtube-subscribers youtube-subscribers Public

    Using data Preprocessing and feature engineering found which channel is most popular, bar plot and correlation matrix.

    Jupyter Notebook

  5. loan-status loan-status Public

    Descriptive statistics for numerical and categorical data, Treating missing values and outliers, Univariate and bivariate analysis, Resampling imbalanced target data, ML algorithm .

    Jupyter Notebook