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NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

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Name		Name	Last commit message	Last commit date
Latest commit History 93 Commits
final		final
hw1		hw1
hw2		hw2
hw3		hw3
hw4		hw4
hw5		hw5
hw6		hw6
README.md		README.md

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NTUEE Machine Learning 2018 Spring (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

Homework 1

Linear Regression - PM2.5 Prediction
kaggle competition rank 5
website

Homework 2

Logistic Regression - Income Prediction
kaggle competition rank 23
website

Homework 3

CNN - Image Sentiment Classification
kaggle competition rank 7
website

Homework 4

Unsupervised Learning & Dimension Reduction
kaggle competition rank 25 (100% accuracy)
website

Homework 5

RNN - Text Sentiment Classification
kaggle competition rank 34
website

Homework 6

Matrix Factorization - Movie Rating
kaggle competition rank 2
slide only

Final Project

Response Selection - Conversations in TV Shows
kaggle competition rank 6
slide only
all project slide

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NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

machine-learning deep-learning linear-regression matrix-factorization rnn autoencoder logistic-regression dimension-reduction cnn-classification ntuee response-selection hung-yi-lee

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