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amcl11/README.md

About Me:

  • Music Industry data analyst with a passion for uncovering insights that advance business objectives.
  • Recently completed Monash University's Certificate in Data Analytics & Visualisation.
  • Continued learning via Dataquest.io and personal projects.

Current Project:

  • AU Spotify Playlist Tracker - New Music Playlist Tracker
  • Tools: Python pandas matplotlib plotly spotipy streamlit SQLAlchemy psycopg2 beautifulsoup4 apscheduler heroku

Pinned Loading

  1. spotify_au_release_app spotify_au_release_app Public

    Tracking songs added to New Music Friday AU & NZ and other key AU playlists on Spotify.

    Python 1

  2. binary_classification_neural_network binary_classification_neural_network Public

    Binary classification neural network to determine applicant success post funding (Alphabet Soup dataset)

    Jupyter Notebook

  3. credit-risk-classification-model credit-risk-classification-model Public

    Train and evaluate a logistic regression model to predict loan risk.

    Jupyter Notebook

  4. unsupervised-learning-clustering unsupervised-learning-clustering Public

    Using unsupervised learning to compare clustering techniques on cryptocurrency data.

    Jupyter Notebook 1

  5. victorian-car-accident-dashboard victorian-car-accident-dashboard Public

    Dashboard project using Python, JavaScript, CSS, Flask, SQLite, SQLAlchemy

    Jupyter Notebook 1

  6. benoitchamot/AirQuality_and_Happiness benoitchamot/AirQuality_and_Happiness Public

    An analysis of the correlation between air quality and quality of life (longevity, respiratory issues and happiness)

    Jupyter Notebook 2