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My HelloWorld Collections

  • linux_shell [Bash]: Linux shell scripting practice
  • nerd_menu [Python]: A project of Python simple CLI menu applications to calculate nerd score for user.
  • xml_data_parser [Python, pandas]: A project of wrangling scrapped XML data and visualization.
  • rmdbs_design [Oracle SQL]: Includes the database system design for "MyHospital".
  • sql_queries [Oracle SQL]: Includes the SQL practice for the database of "MyHospital".
  • semi_structured_text_parsing [Python, pandas]: Parse a semi-structured text data of US Pattern to CSV and JSON.
  • pdf_text_feature_extraction [Python, pandas]: Extract features of Research Papers text data in PDF files.
  • delivery_data_cleansing [Python, pandas]: Fix delivery data which has dirty, missing and outlier data.
  • real_estate_data_integration [Python, pandas]: Do data integration for real estate data from data with different type and sources. And do resharping in the final.
  • spark_data_processing [Python, Spark]: Do data processing and exploration by Spark for NLP.
  • spark_machine_learning [Python, Spark]: Do machine learning by Spark for weather prediction.
  • machine_learning_algorithm [R]: Several famous machine learning algorithm introduction, implementation and analysis.
  • forest_fire_prediction [R]: Data mining on forest fire dataset, including exploratory data analysis, data preprocessing and machine learning modelling prediction.
  • twitter_gender_prediction [Python, TensorFlow]: Modelling on twitter text data to predict the gender of the authors.
  • image_editing_and_analysis [Python]: Includes image pixel editing, shape and edge detection, and cartoonizer.
  • video_summary_generation [Python]: Analysis video signal, summarize the content and generate collage.
  • pedestrain_visualization_shiny [R, shiny]: Visualize pedestrain data by R Shiny.
  • pedestrain_visualization_d3 [JavaScript, D3.js]: Visualize pedestrain data by D3.js.
  • covid19_visualization [JavaScript, D3.js]: COVID theme data visualization by D3.js.

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Previous projects for getting started in programming.

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