Nataly Valenzuela Mullen's Projects
Advent of Code is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels.
The goal of this project is to use Python machine learning to build a model that can accurately predict the diagnosis of breast cancer tissues as either malignant or benign based on a portion of the characteristics of a FNA of a breast mass. To use data science to make a complicated and lengthy process an easier one.
SQL queries to answer interesting questions about international debt using data from The World Bank.
Use Python and NLP techniques to prepare data science students for the job hunt with information about data science positions, and an understanding of the expectations and requirements. Exploration of trends in data science job postings. Explore job descriptions to categorize skill sets, look for patterns, and prepare tools for the job search.
The use of machine learning on the Fertility and Women's Labor Supply data set to predict whether someone will want more kids based on their age, ethinicity, work hours, and gender of their 1st child?
Geospatial-temporal analysis using Holoviews, along with Pandas to combine various types of data in sensible ways to describe common daily routines for GASTech employees and identify up to twelve unusual events or patterns in the data.
Config files for my GitHub profile.
PCA, Clustering (KMean, Decision Tree, LogReg) and Linear, Ridge, and Lasso Regression algorithms applied to the California Test Score Data
Example Streamlit app that you can fork to test out share.streamlit.io
Do good tacos mean less crime? Let us find out.
Retail data analysis using machine learning techniques in Python and Sklearn packages to help Ugly Christmas Party determine how many sweaters to order for each ugly Christmas sweater design created.
When Was the Golden Age of Video Games? Use SQL joins and set theory to discover the best years for video games!
Under Construction-Active project