Chelsea Wang (KoalaChelsea)

KoalaChelsea

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Location:Falls Church, VA

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Chelsea Wang's repositories

Database-Management-System-with-C-Language

In this project I wrote a database management system with C language, which can operate the commands of SQL and guarantee proper output at the same time.

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Yelp-Restaurant-Data-Analysis

The purpose of our study is to utilize data-driven methods in analyzing the crucial factors contributing towards the success of restaurants and thus provide data-science solutions to restaurant owners to help them to improve their business.

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Data-Exploration

This tool provides data summaries and plots for sample data sets and for data that can be uploaded by by users.

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Factors-affecting-inference-for-means

Factors-affecting-inference-for-means

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Factors-affecting-inference-for-proportions

This app represents an interactive supplementary module embedded in statistics lessons with two features. The first feature visualizes how the variations in confidence levels and sample size affect the outcome confidence interval in a single mean. The second feature tests the difference between two means by adjusting confidence levels and sample size and generating calculation results with explanations. The app requires students to engage in the interaction with the scenarios provided in context.

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Flight-Scheduler-using-Derby-database

This application have a very nice GUI interface and will be a Derby database driven application.

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Word2Vec

A skip-gram model implementation using Tensorflow

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Binary-Search-Tree

Build a binary search tree. Perform insertions in order. Build methods for insert, search and delete.

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causalml

Uplift modeling and causal inference with machine learning algorithms

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data-science-question-answer

A repo for data science related questions and answers

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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Law-of-Large-Number

http://shiny.science.psu.edu/yjw5018/LargeNumber/

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lectures

This directory contains materials for the classroom

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Manifold-Learning

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

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Radix-Sorting

Radix sorting entails grouping number elements in a data structure by each digit.

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Snake

Snake is the common name for a game concept where the player maneuvers a line which grows in length, with the line itself being a primary obstacle. You can move North, South, East or West. Your position is shown by the letter “U”. Each time you move from a spot, it turns into a bomb.

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