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  1. ml-internship-task-3 ml-internship-task-3 Public

    Advanced data cleaning & preprocessing pipeline using the Adult Census Income dataset

    Jupyter Notebook 1

  2. ml-internship-task-1 ml-internship-task-1 Public

    In this task I did data cleaning using numpy and pandas

  3. ml-internship-task-2 ml-internship-task-2 Public

    📊 Exploratory Data Analysis (EDA) of the Telco Customer Churn dataset using Python, Pandas, Matplotlib, and Seaborn to identify churn patterns and business insights.

    Jupyter Notebook

  4. ml-internship-task-4 ml-internship-task-4 Public

    Feature engineering techniques for house price prediction using the Ames Housing dataset.

    Jupyter Notebook

  5. ml-internship-task-5 ml-internship-task-5 Public

    Statistical analysis and hypothesis testing on medical insurance data using t-tests, ANOVA, Mann-Whitney U, Chi-square, confidence intervals, effect sizes, correlation analysis, and multiple compar…

    Jupyter Notebook