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1. Supervised_Credit_Risk_Classification Supervised_Credit_Risk_Classification Public

   Uses Logistic Regression and various machine learning techniques to train and evaluate models with imbalanced classes applied to identify the creditworthiness of borrowers.

   Jupyter Notebook

2. Housing_Rental_Analysis_for_San_Francisco Housing_Rental_Analysis_for_San_Francisco Public

   Use of visualizations with PyViz and Plotly Express to show results on geographical real estate data analysis.

   Jupyter Notebook 2 2

3. DB_WebApp_using_SQL_Voila DB_WebApp_using_SQL_Voila Public

   Build a financial database and web application by using SQL, Python, Yahoo Finance API, and the Voila library to analyze an ETF performance.

   Jupyter Notebook

4. Risk_Return_Analysis Risk_Return_Analysis Public

   Quantitative analysis to select one fund among several, for inclusion in a suite of products for retirement portfolios, using key metrics, visualizations, and diversification considerations.

   Jupyter Notebook 3

5. Crypto_Clustering Crypto_Clustering Public

   Uses K-Means unsupervised machine learning algorithm and Principal Component Analysis to cluster cryptocurrencies based on performance in selected periods.

   Jupyter Notebook 3

6. VIXM-Algorithmic-Strategy VIXM-Algorithmic-Strategy Public

   An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

   Jupyter Notebook 3 2