Pinned Repositories
algoPrep
Improve ability to solve coding challenges and find most efficient solution sooner.
BeautifulSoup
Using Python, BeautifulSoup, MongoDB and Flask, display pertinent Mars imagery and data that has been scraped from NASA websites.
CNN-Classification
Using Python and Pillow, create and organize a dataset of images of common household items in various positions. Utilize Matplotlib, TensorFlow, Keras and three CNN models pre-trained on the ImageNet dataset to classify the objects. Review model performance with Pandas and Tableau and build a website to visualize the Tableau tables and charts.
education-cryptomoji
SDCND-P3-Behavioral_Cloning
Using a driving simulator, create a dataset of tens of thousands of images (along with the associated steering angle, throttle and speed data for each image) and use them to train a Convolution Neural Network written in Python with TensorFlow and Keras that can successfully navigate the race track in the simulator with no user interventions.
SDCND-P4-Advanced-Lane_Finding
Using Python, Numpy, OpenCV, Matplotlib and Scipy, write a software pipeline that will test and ultimately utilize various computer vision techniques to alter images in a given video of highway driving and output a new video with virtual lane boundaries.
SDCND-P5-Vehicle_Detection
Utilizing Python, Numpy, Matplotlib and Scikit-Learn, take a sample video that includes moving vehicles and write a software pipeline that outputs another video with the vehicles captured within bounding boxes.
YouTube-ETL-Project
Create a North American database for YouTube top trending videos
pangea
Targaryen-Proxy
Target website clone with a spinoff theme of House Targaryen of the Game of Thrones as the retailer, diving deep into the world of React, Node.js and multiple databases to recreate the brilliant website created by thousands of well-paid, qualified devs with years of experience and we were able to capture 90% of their effectiveness in just two weeks of work. It was a valiant hack that solidified our abilities to recreate some of the best work out there today.
Brian-McHugh's Repositories
Brian-McHugh/CNN-Classification
Using Python and Pillow, create and organize a dataset of images of common household items in various positions. Utilize Matplotlib, TensorFlow, Keras and three CNN models pre-trained on the ImageNet dataset to classify the objects. Review model performance with Pandas and Tableau and build a website to visualize the Tableau tables and charts.
Brian-McHugh/education-cryptomoji
Brian-McHugh/YouTube-ETL-Project
Create a North American database for YouTube top trending videos
Brian-McHugh/algoPrep
Improve ability to solve coding challenges and find most efficient solution sooner.
Brian-McHugh/BeautifulSoup
Using Python, BeautifulSoup, MongoDB and Flask, display pertinent Mars imagery and data that has been scraped from NASA websites.
Brian-McHugh/SDCND-P3-Behavioral_Cloning
Using a driving simulator, create a dataset of tens of thousands of images (along with the associated steering angle, throttle and speed data for each image) and use them to train a Convolution Neural Network written in Python with TensorFlow and Keras that can successfully navigate the race track in the simulator with no user interventions.
Brian-McHugh/SDCND-P4-Advanced-Lane_Finding
Using Python, Numpy, OpenCV, Matplotlib and Scipy, write a software pipeline that will test and ultimately utilize various computer vision techniques to alter images in a given video of highway driving and output a new video with virtual lane boundaries.
Brian-McHugh/SDCND-P5-Vehicle_Detection
Utilizing Python, Numpy, Matplotlib and Scikit-Learn, take a sample video that includes moving vehicles and write a software pipeline that outputs another video with the vehicles captured within bounding boxes.
Brian-McHugh/better-boiler
webpack and babel boiler setup for React / CSS / HTML
Brian-McHugh/Bootstrap_Dashboards
Using Bootstrap, Pandas, HTML and CSS, convert a dataset in csv format into a responsive data visualization dashboard website to display weather data observations.
Brian-McHugh/Brian-McHugh-CitiBike
Use Tableau to evaluate NYC CitiBike user data
Brian-McHugh/Brian-McHugh.github.io
Brian-McHugh/Build-a-Burger
Use React and CSS to build a visually appealing, simple burger ordering system
Brian-McHugh/Contacts-App
Brian-McHugh/D3
An exercise in data journalism, use JavaScript and D3.js to bring health data in csv format to life by creating an interactive scatter plot within a webpage.
Brian-McHugh/DOM
Using only JavaScript, HTML, CSS and D3.js, write code that will create a table dynamically based upon a dataset, with an option for users to filter the table data for specific values.
Brian-McHugh/FlashQuiz
Brian-McHugh/Jupyter
Create a Python script for analyzing the financial records of a company, and another to help a town modernize its vote-counting process.
Brian-McHugh/Leaflet
Create an interactive map of recent earthquake data using Leaflet.js
Brian-McHugh/Legalization-Impacts
Brian-McHugh/OpenWeatherMap
Create a script that utilizes a simple Python library and the OpenWeatherMap API to visualize the weather of 500+ cities across the world
Brian-McHugh/Plotly
Using D3 (JavaScript) on the front end and Flask (Python) on the back end, build a web-based dashboard with interactive charts to visualize the Belly Button Biodiversity Dataset. Use SQLAlchemy (Python) to establish and manage a database connection to a provided SQLite file. Use Plotly.js to build pie, bubble and gauge charts to display sample data and deploy the application to Heroku.
Brian-McHugh/Py_Academy
Make strategic decisions regarding future school budgets and priorities.
Brian-McHugh/Pyber
Offer data-backed guidance on new opportunities for market differentiation for a ride-share company
Brian-McHugh/Pymaceuticals
Analyze data for a pharmaceutical company to see how four treatments compare
Brian-McHugh/Pymoli
As Lead Analyst for an independent gaming company, analyze the data for the company's most recent fantasy game Heroes of Pymoli.
Brian-McHugh/ReactEmptyBoiler
Basic file setup for a full stack React app
Brian-McHugh/SDCND-P12-Semantic_Segmentation
Identify drivable area in images using a Fully Convolutional Network (FCN)
Brian-McHugh/SQL
Perform data modeling, data engineering and data analysis on employee data with CSV files and a SQL database.
Brian-McHugh/SQLAlchemy