Ting Lee's repositories
Django-Semi_RESTFUL_CRUD
using Flask and MySQL
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.
Artificial_Intelligence_Essential_Math
1) Algebra Fundamentals
courses
Django
Data_Manipulation_with_pandas
Introduction, DataFrame, missing Values, Data Operations, File Read and Write Support, Pandas Sqi Operation and assignments
data_science_portfolio
Data analytics, visualization and science projects that I created as a learning tool for myself and as a passion/interest.
Data_Visualization_Matplotlib
Introduction, Line Properties, XY Plot and Subplots, Types of Plots
datascience.github.io
Data Science Portfolio
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
Flask_Fundamentals
Various basic projects using Flask
Hadoop_MapReduce_Spark
Hadoop Core Components, Python integration with HDFS Using Hadoop Streaming, Python Integration with spark Using PySpark
Machine_Learning_with_Scikit-Learn
Machine Learning approach, supervised learning model considerations, Linear Regression, Logistic Regression, Unsupervised Learning Models, Pipeline, Model Persistence And Evaluation
Natural-Language-Processing
Overview, Applications, NLTK, Scikit Learn Libraries, Extraction Considerations, Model Training And Grid Search
NumPy_Basic
NumPy using Jupyter
Precourse
This repo contains the instruction material and assignments for Lambda School's pre-course program.
Python_Fundamentals
1) String and List Practice, Find and Replace, Min and Max, First and Last, New List
PYTHON_OOP
OOP (Object Oriented Programming) Objects and Classes Class Structure Instantiation Attributes Methods Init
SciPy_Basic
Introduction, SubPackage - Integration and Optimization, Calculate Elgenvalues and Eigenvector, Statistics, Weave and IO
thinkful_unit1
Assigments - Toolkit, SQLite, CTS, plotting, seaborn, validations, experimental design, capstone
Web_Scraping
WebScraping and Parsing, Searching the Tree, Navigation Options, Modifying the Tree, Parsing and Printing The Document, BeautifulSoup