ash-hun / my_nlp_research

My NLP Research

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"My NLP Research"



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πŸ“‘ Contents

  • Advanced Python Practice

    • ENVIRIONMENT SETTING
    • PYTHON PROGRAMMING, VARIABLE & OPERATOR
    • PYTHONIC CODE
    • LAMDA, MAP REDUCE
    • ASTERISK
    • DATA STRUCTURE - COLLECTIONS
    • USEFUL LIBRARY - ITERTOOLS
  • Useful Library with ML

    • NUMPY
    • MATPLOTLIB
    • PANDAS
  • Must Have Top 10 Algorithm in 'ML'

    • LINEAR REGRESSION
    • LOGISTIC REGRESSION
    • KNN
    • NAIVE BAYES
    • DECISION TREE
    • RANDOM FOREST
    • XGBoost
    • LightGBM
    • K Means Clustering
    • PCA
  • Best Way to implementation in 'NLP'

    • INTRODUCE FOR NLP TASK
    • PREPROCESSING
      • CORPUS PREPROCESSING
      • ONE-HOT ENCODING
      • TF-IDF
      • WORD2VEC
      • GLOVE
    • N-GRAM
    • CNN
    • RNN
    • LSTM
    • GRU
      • GRU Example : Sentiment Analysis
      • GRU Example : GRU LM
    • Seq2Seq & Encoder/Decoder
    • Transformer

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My NLP Research


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