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  1. Auto-dataset-cleaning-use-python-library-pandas- Auto-dataset-cleaning-use-python-library-pandas- Public

    Data cleaning in Python prepares raw data for analysis by handling missing values (fillna(), dropna()), removing duplicates (drop_duplicates()), and fixing formats (astype()). Libraries like pandas…

    Jupyter Notebook

  2. Split-data-use-python-library-pandas Split-data-use-python-library-pandas Public

    Use pandas to divide data into smaller subsets for easier cleaning. I have split a large dataset into smaller chunks or separate specific columns for targeted cleaning.

    Jupyter Notebook

  3. EPL-Player-Performance EPL-Player-Performance Public

    Analysis of English Premier League (EPL) dataset using Python, Pandas, Matplotlib, and Seaborn. Explored player performance metrics like goals, assists, and passes. Visualized key insights and tren…

    Jupyter Notebook

  4. YouTube-Songs-Data-Analysis YouTube-Songs-Data-Analysis Public

    This notebook contains an analysis of YouTube songs data, including views, likes, comments, and publishing trends. The dataset includes information such as video IDs, channel titles, song titles, d…

    Jupyter Notebook

  5. Movie-Recommendation-System Movie-Recommendation-System Public

    This project is a content-based movie recommendation system built using Python and popular data science libraries. It suggests movies based on a given movie title by analyzing similarities in genre…

    Jupyter Notebook

  6. COVID-19-Data-Storytelling-Project COVID-19-Data-Storytelling-Project Public

    This project is a data storytelling analysis of COVID-19 using Python. It combines data analysis with visual storytelling techniques to reveal trends, patterns, and insights from the global pandemi…

    Jupyter Notebook