Ting Lee (tlee0058)

tlee0058

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Location:Washington DC

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Ting Lee's repositories

API_AJAX

using JavaScript and Django

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Django-Semi_RESTFUL_CRUD

using Flask and MySQL

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Django_Expense_Report_App

Many small to mid-sized businesses encounter a common problem when trying to submit their expense reports for their employers to get reimbursements. The procedure is often tedious and labor-intensive because they need to compile a list of expenses that can be allocated to different project codes and receipt backups that correspond to the expenses. My solution is to create a user-friendly app that allows users to add projects and allocate each expense to the matching project. Accounting staff can then draw up all the expenses associated to the particular project code and bill conveniently.

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courses

Django

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Data_Manipulation_with_pandas

Introduction, DataFrame, missing Values, Data Operations, File Read and Write Support, Pandas Sqi Operation and assignments

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data_science_portfolio

Data analytics, visualization and science projects that I created as a learning tool for myself and as a passion/interest.

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Data_Visualization_Matplotlib

Introduction, Line Properties, XY Plot and Subplots, Types of Plots

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datascience.github.io

Data Science Portfolio

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Django_FORMS

Django forms basically auto-generate your HTML for your form for you, based on a variable’s models.fieldType. You can then pass an instance of this class (which is the HTML) to your views.py file and, through your context variable, pass the form to your templates

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Flask_Fundamentals

Various basic projects using Flask

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Hadoop_MapReduce_Spark

Hadoop Core Components, Python integration with HDFS Using Hadoop Streaming, Python Integration with spark Using PySpark

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Machine_Learning_with_Scikit-Learn

Machine Learning approach, supervised learning model considerations, Linear Regression, Logistic Regression, Unsupervised Learning Models, Pipeline, Model Persistence And Evaluation

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Natural-Language-Processing

Overview, Applications, NLTK, Scikit Learn Libraries, Extraction Considerations, Model Training And Grid Search

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NumPy_Basic

NumPy using Jupyter

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Precourse

This repo contains the instruction material and assignments for Lambda School's pre-course program.

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Python_Fundamentals

1) String and List Practice, Find and Replace, Min and Max, First and Last, New List

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PYTHON_OOP

OOP (Object Oriented Programming) Objects and Classes Class Structure Instantiation Attributes Methods Init

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SciPy_Basic

Introduction, SubPackage - Integration and Optimization, Calculate Elgenvalues and Eigenvector, Statistics, Weave and IO

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thinkful_unit1

Assigments - Toolkit, SQLite, CTS, plotting, seaborn, validations, experimental design, capstone

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Web_Scraping

WebScraping and Parsing, Searching the Tree, Navigation Options, Modifying the Tree, Parsing and Printing The Document, BeautifulSoup

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