PBoy20511

Double-ended-Priority-Queue. C++

a-tiny-C-Interpreter. OurC is a simplified but slightly extended C language. It has five primitive data types (int, float, char, bool, and string), one-dimensional array, and no struct or enum. There are function calls, compound statements, conditional constructs (if-then-else) and loop constructs (while-loop and do-while loop).

Lexical_Analysis. 這次的程式實現了Lexical Analyzer的功能，能夠將原始的程式碼轉換成Token。

fransis-compiler. fransis compiler

Finding-Donors-for-CharityML. In this project, you will employ several supervised algorithms of your choice to accurately model individuals' income using data collected from the 1994 U.S. Census. You will then choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data. Understanding an individual's income can help a non-profit better understand how large of a donation to request, or whether or not they should reach out to begin with. While it can be difficult to determine an individual's general income bracket directly from public sources, we can (as we will see) infer this value from other publically available features. The dataset for this project originates from the UCI Machine Learning Repository. The datset was donated by Ron Kohavi and Barry Becker, after being published in the article "Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid". You can find the article by Ron Kohavi online. The data we investigate here consists of small changes to the original dataset, such as removing the 'fnlwgt' feature and records with missing or ill-formatted entries.