/tommys-awesome-lectures

Lecture materials by tommy

Primary LanguageJupyter Notebook

Tommy's Awesome Lectures

딥러닝 강의와 실습 조교 활동하며 모아놓은 자료들입니다. 코랩에서의 실행을 가정합니다.

Hi! This repo contains my lecture contents for deep learning. I assume that the notebooks run on colab environment. Hope you enjoy!

Trees

  1. Lecture Notes: ML_Classification_Review Trees Ensembles

  2. Kaggle Titanic: jupyter notebook

Word Embedding

  1. Implementation of Word2Vec (CBOW, Skip-gram) data1 data2 QUS ANS

    Credit to : Davian Lab

Application of RNN

  1. NAVER Movie Review Sentiment Analysis data QUS ANS

    Credit to: https://github.com/e9t/nsmc for Naver movie review dataset

  2. How to use RNN (vanilla RNN, LSTM, GRU) QUS ANS

    Credit to : Davian Lab

  3. Bitcoin with RNN data QUS ANS

    Credit to: yahoo finance for bitcoin dataset (https://finance.yahoo.com/quote/BTC-KRW/)