Code collection of assignments, practice, etc. in graduate school lectures

• week2 week2_postagging
  • Korean corpus postagging practice
• week3 week3_network
  • network analysis
• week5 week5_TFIDF
  • TF-IDF % countvectorize
• week6 week6_word2vec
  • word2vec
• week7 week7_tokenizer
  • tokenizer by keras
• week8 week8_clustering
  • clustering
• week10 week10_webcrawling
  • webcrawling by selenium
• week12 week12_sequence_RNN
  • Sequnce & RNN modeling by keras
• week13 week13_transformer_attention
  • Transformer & attention modeling by keras

• week2 week2_assignment_온도변환
  • Temperature conversion
• week3 week3_assignment_이진수,숫자찾기,구구단,평균
  • binary conversion, number finding, continuous multiplication, average finding
• week4 week4_assignment_단어카운팅
  • txt file read and word counting
• week6 week6_assignment_딕셔너리,람다식
  • dictionary and lambda expression
• week10 week10_assignment_pandas
  • pandas
• week11 week11_assignment_keras , week11_assignment_pytorch
  • MLP Implementation through keras and pytorch
• week12 week12_assignment_crawling
  • website crawling

• Assignment1 DS_Assignment_01.ipynb
  • loading and utilizing csv files
  • Utilizing re library, finding sentence through regular expressions
  • Find a Student with a B grade
  • Creating a dictionary from a log history file
• Assignment2 DS_Assignment_02.ipynb
  • The Basics of Pandas handling
• Assignment3 DS_Assignment_03.ipynb
  • Interpreting time series graphs and visualizations

• Assignment1 HW01.py

  • Creating a T-test Statistics Table

    

• Assignment2 HW02.py

  • Implementing a kernel graphs

    

    

• Assignment3 HW03.py

  • Implementing a SVC

    

    

• Assignment4 HW04.py

  • Implementing a Bayesian Network

    
    

• Assignment1 Assignment1_FNN.ipynb

  • FashionMNIST Classification with FNN and Logistic Regression

    Accuracy and Loss

    

    Confusion Matrix