lopez-christian
• UC San Diego • Flatiron School • Data Science * Data Engineering • Neuroscience • Psychology • Machine Learning • Cloud Computing
Las Vegas, NV
Pinned Repositories
als-recommender-system-pyspark-lab-online-ds-pt-120919
applying-nearest-neighbors-data-science-intro-000
Building-a-Data-Science-Web-App
Used Python and Streamlit to build a beautiful and interactive web app. Loaded, explored, visualized and interacted with data, and generated dashboards in less than 100 lines of Python code!
Chest-X-Ray-Deep-Learning-Project
This repository includes my Chest X-Ray Deep Learning-Flatiron School Module 4 Project. For this project, I made use of OS to access the data. The Pandas, NumPy, Matplotlib, Seaborn, and Plotly libraries were used to explore the data. Keras was used to build the image classifier.
COVID-19-PyTorch-Image-Classifier
This repository includes my COVID-19 PyTorch Image Classifier-Flatiron School Capstone Project. I used a resnet-18 model and trained it on the COVID-19 Radiography Dataset. This dataset has nearly 3000 Chest X-Ray scans which are categorized into three classes - Normal, Viral Pneumonia, and COVID-19. The objective of this project was to create an image classification model that could accurately predict and classify the Chest X-Ray scans.
House-Prices-Linear-Regression-Project
This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.
IBM-Coursera-Capstone
This repository includes my IBM Applied Data Science Capstone. Leveraged the Foursquare location data to explore/compare neighborhoods and cities of my choosing and came up with a problem that I could use the Foursquare location data to solve.
IMDb-Web-Scraping-Project
This repository includes my IMDb Web Scraping-Flatiron School Module 1 Project. In this project, I incorporated data scraping, data wrangling, data cleaning, and visualization techniques.
Liver-Disease-Machine-Learning-Project
This repository includes my Liver Disease Machine Learning-Flatiron School Module 3 Project. For this project I used libraries such as Pandas, Matplotlib, and Seaborn for visualizations and Scikit-Learn for the machine learning portion of the project. I implemented various classification algorithms on the data including some hyperparameter tuning.
lopez-christian.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
lopez-christian's Repositories
lopez-christian/applying-nearest-neighbors-data-science-intro-000
lopez-christian/calculating-distance-data-science-intro-000
lopez-christian/calculating-distance-lab-data-science-intro-000
lopez-christian/calculating-lines-data-science-intro-000
lopez-christian/dsc-one-to-many-and-many-to-many-joins-lab
lopez-christian/jupyter-notebook-introduction-data-science-intro-000
lopez-christian/learn-co-sandbox
lopez-christian/nearest-neighbors-lab-data-science-intro-000
lopez-christian/nearest-neighbors-readme-data-science-intro-000
lopez-christian/plotly-basics-data-science-intro-000
lopez-christian/plotly-lab-data-science-intro-000
lopez-christian/py-lists-with-maps-data-science-intro-000
lopez-christian/Python-Data-Scraping-IMDb-Movie-site-using-BeautifulSoup-Series-1-
Data Scraping using Python BeautifulSoup
lopez-christian/python-lists-lab-data-science-intro-000
lopez-christian/python-lists-readme-data-science-intro-000
lopez-christian/python-practice-with-datatypes-data-science-intro-000
lopez-christian/python-variables-lab-data-science-intro-000
lopez-christian/python-variables-readme-data-science-intro-000
lopez-christian/single-variable-regression-data-science-intro-000
lopez-christian/visualizing-in-python-data-science-intro-000