8000 mattranalletta (Matt Ranalletta) · GitHub
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  1. 01_MTA_exploratory_data_analysis 01_MTA_exploratory_data_analysis Public

    METIS PROJECT 1: EXPLORATORY DATA ANALYSIS // Skills: Pandas, NumPy, Matplotlib, Seaborn

    Jupyter Notebook 2

  2. 02_predicting_movie_box_office_revenue 02_predicting_movie_box_office_revenue Public

    METIS PROJECT 2: REGRESSION // Skills: BeautifulSoup, Pandas, cross-validation, feature engineering, Scikit-Learn regression modeling (Linear, Polynomial, Lasso, Ridge)

    Jupyter Notebook

  3. 03_predicting_bike_share_user_type 03_predicting_bike_share_user_type Public

    METIS PROJECT 3: CLASSIFICATION // Skills: PostgreSQL, Pandas, Scikit-Learn classification algorithms (KNN, Logistic Regression, Decision Tree, Random Forest, Naive Bayes, XGBoost), Streamlit, HTML

    Jupyter Notebook 1

  4. 04_biden_election_tweets_NLP 04_biden_election_tweets_NLP Public

    METIS PROJECT 4: NATURAL LANGUAGE PROCESSING & UNSUPERVISED LEARNING // Skills: NLTK, Sci-kit Learn NLP libraries (TF-IDF vectorizer, K-means clustering, PCA, t-SNE), Wordcloud library

    Jupyter Notebook 1

  5. 05-gender-equality-COVID-19 05-gender-equality-COVID-19 Public

    METIS PROJECT 5: REGRESSION, VISUALIZATION // Skills: Pandas, cross-validation, feature engineering, Scikit-Learn regression modeling (Linear, Polynomial, Lasso, Ridge), Tableau

    Jupyter Notebook

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