Pinned Repositories
android-ktx
A set of Kotlin extensions for Android app development.
coding-interview-university
A complete computer science study plan to become a software engineer.
college_access_idx-beyeas01
college_access_idx-beyeas01 created by GitHub Classroom
Cutler_Decision_Tree_Random_forests
contains Adele Cutler's random tree algorithm and a bagging algorithm for random forests
z0r00's Repositories
z0r00/android-ktx
A set of Kotlin extensions for Android app development.
z0r00/coding-interview-university
A complete computer science study plan to become a software engineer.
z0r00/college_access_idx-beyeas01
college_access_idx-beyeas01 created by GitHub Classroom
z0r00/Cutler_Decision_Tree_Random_forests
contains Adele Cutler's random tree algorithm and a bagging algorithm for random forests
z0r00/Data_analyst
Learn to use Python, R, SQL, and Tableau to uncover insights, communicate critical findings, and create data-driven solutions.
z0r00/freeCodeCamp
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code and help nonprofits.
z0r00/fullstack-nanodegree-vm
z0r00/isdc-projects
Jupyter notebooks completed to help mentor students for Udacity's ISDCND program.
z0r00/machine-learning-for-trading
Instructor: Tucker Balch (Georgia Tech)
z0r00/Machine-Learning-For-Trading-1
Code for course: https://classroom.udacity.com/courses/ud501 (Completed!)
z0r00/machine-learning-for-trading-2
Machine learning techniques learned during CS 7646 applied to trading.
z0r00/market_simulator
a market simulator that accepts trading orders and keeps track of a portfolio's value over time and then assesses the performance of that portfolio.
z0r00/Market_Simulator-1
z0r00/ML-Trading
z0r00/ml4t
z0r00/ML4T_coursera
CS7646
z0r00/ml_trading_assess_learners
machine learning trading algorithms: implement and compare decision tree learner, a random tree learner, and a bootstrap aggregating learner
z0r00/ml_trading_defeat_learners
machine learning algorithms for trading: implement linear regression and decision tree learners and generate data sets that work better for linear regression and those that work better for decision trees
z0r00/omscs-ml4t
Projects related to my Machine Learning for Trading course
z0r00/P1-Test-a-Perceptual-Phenomenon
This is a statistical project that is part of the Udacity Data Analyst Nanodegree. Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results.
z0r00/P2-Analyzing-the-NYC-Subway-Dataset
This is the 2nd project for the Udacity Data Analyst - Nanodegree. The ultimate goal of the analysis is to see whether NYC subway ridership is higher on rainy days vs non-rainy days. Python (NumPy, Pandas, ggplot) and Tableau were used for the analysis and visualizations respectively.
z0r00/P3-Data-Wrangling-with-MongoDB
This is the 3rd project for the Udacity Data Analyst - Nanodegree. I was tasked at choosing any area of the world from https://www.openstreetmap.org and used data munging techniques, such as assessing the quality of the data for validity, accuracy, completeness, consistency and uniformity, to clean the OpenStreetMap data. I chose the GVRD, or Greater Vancouver Regional District, which is my home region. Python was used to clean the data and prepare it for inserting into the NoSQL database: MongoDB. Many queries were then run to arrive at interesting findings. Finally, an R Markdown document was created to easily showcase all the queries in the final pdf report.
z0r00/P6-Data-Visualization-and-D3
This is the sixth project as part of the Udacity Data Analyst Nanodegee. I created a data visualization from a data set which allows the reader to explore trends or patterns. I used d3.js to create the visualization. My work is a reflection of the theory and practice of data visualization, such as visual encodings, design principles, and effective communication.
z0r00/P7-Design-an-A-B-Test
This is the 7th and final project as part of Udacity's Data Analyst Nanodegree. In this project, I made design decisions for an A/B test, including which metrics to measure and how long the test should be run. Analyzed the results of an A/B test that was run by Udacity and recommended whether or not to launch the change.
z0r00/project_machine_learning
Machine Learning for Enron. Project #5 for Udacity's Data Analyst Nanodegree program.
z0r00/project_tableau_story
z0r00/self-driving-car-nd
Udacity's Self-Driving Car Nanodegree project files and notes.
z0r00/Udacity-Intro-To-Self-Driving-Cars
My project repo for Into to Self Driving Cars by Udacity. I am blessed to get Lyft Scholarship for this course.
z0r00/Udacity_Intro-to-self-driving-car
z0r00/urcli
CLI tool for the Udacity Reviews API