The purpose of the repository is to showcase and document my journey through Machine Learning, Deep Learning and Artificial Intelligence. This directory will hold the Jupyter Notebooks I create to analyze data and predict the outcomes questioned within the research published in this archive.
David P. Lopez 305.527.7237
The goal of the projects stored in this directory is to explore all of the tools and resources available to Machine Learning & Ai engineers in order to better hone the skills needed to become a better engineer. It is my intention to apply mathematical insight and understanding with these tools to predict probable outcomes from the features defined in these projects in order to gain a better understanding of the digital world.
A few of the tools applied to the research in this repository include, but are not limited to the following:
- Numpy, Scipy: Data Computation
- Pandas: import/export, data manipulation, filtering, & resizing
- Matplotlib, seaborn: Data visualization
- Sklearn, Tensorflow: Machine Learning Need x64 Python3 install for ML
- TF, theano, keras: Deep Learning
- NLTK, Textblob: Natural Language Processing
- Opencv, skimage: Image Processing
All worked performed in Jupyter Lab.
- Challenger O-Ring Failure
- CryptoCurrency Research
- Real Estate Housing Prices
- US Gun Violence Predictions (Future Project)