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1. FinTech_Bootcamp_Challenges FinTech_Bootcamp_Challenges Public

   Includes all the code from my UC Berkeley FinTech Bootcamp 2023

   Jupyter Notebook

2. Deep-Learning-Image-Classifier Deep-Learning-Image-Classifier Public

   As part of Udacity's Data Scientist Nano Degree (DSND), and using PyTorch, I had to build a deep learning model to classify flowers based on 102 provided categories.

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3. Supervised-Learning-Finding-Donors-for-CharityML Supervised-Learning-Finding-Donors-for-CharityML Public

   As part of Udacity's Data Scientist Nano Degree (DSND), and using scikit-learn in Python, I had to build a classification algorithm to find doner for CharityML (a fictional charity organization). T…

   HTML

4. Unsupervised-Learning-Identify-Customer-Segments Unsupervised-Learning-Identify-Customer-Segments Public

   As part of Udacity's Data Scientist Nano Degree (DSND), and using PCA and KMeans, I had to build a model to classify a population and a sample into clusters and compare the distributions of both fo…

   HTML 1

5. Exploratory-Data-Analysis-with-R-NASDAQ-Data Exploratory-Data-Analysis-with-R-NASDAQ-Data Public

   As part of Udacity's Data Analysis Nano Degree (DAND). Using R, I had to apply exploratory data analysis techniques to explore relationships in one variable to multiple variables, and to explore th…

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6. Data-Wrangling-with-Python-OpenStreetMap-Data Data-Wrangling-with-Python-OpenStreetMap-Data Public

   As part of Udacity's Data Analysis Nano Degree (DAND), and using Python and SQL, I had to parse the data from xml files, audit and clean the data, then store, query, and aggregate data in SQL.

   Jupyter Notebook