Jennifer Tsou's repositories
Machine-Learning-With-Enron
Machine Learning with Enron to identify person of interest. Implement different algorithms to discover what gives the best result
Red-Wine-Analysis-with-R
Analyzing Red Wine Quality using R with libraries using mostly knitr and dplyr
better-java
Resources for writing modern Java
Caching-the-Inverse-of-a-Matrix
Repository for Programming Assignment 2 for R Programming on Coursera
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Seasonality-Package-Sorter-Optimization-for-Amazon-AIR
his is my graduation project, aimed at solving a real-world problem using machine learning methodologies and interactive visualizations created with Tableau Dashboard. Specifically, I focused on optimizing the Amazon Air site.
Data-Visualization-with-d3-with-Loans
Create interactive visualization for Prosper Rating using dimple.js and d3.js
DataCamp-Project-Project-What-s-in-a-Name-
In this project, we will explore a rich dataset of first names of babies born in the US, that spans a period of more than 100 years!
datasharing
The Leek group guide to data sharing
Exploratory-Data-Plotting
Plotting Project for Exploratory Data Analysis
Netflix-Rating
Explore the distribution of rating on Netflix shows
Open-Street-Map-Project-San-Francisco
Explore San Francisco Bay area using MongoDB to query data after cleaning the raw data from Open Street Map
Personal-Activities-with-R
Peer Assessment 1 for Reproducible Research
progfun-wiki
scala
Should-doctor-wash-their-hands-
In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.
SQL-with-Wine
Purpose of this repository is to use SQLite to explore wine, grapes, appellations by joining the dataset
Statistics-Stroop-Effect
Perform statistical analysis on Stroop Effect
Titanic-Investigate-the-Survival-Factors
Use Python libraries such as NumPy and Pandas to investigate what factored in the survival rate of the Titanic. Used matplotlin.pyplot and seaborn for visualization