Introduction to Deep Learning

• NCU-CS-HW

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• TreNDS_hw.ipnyb
• Arthur_lab3.ipynb

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Report - lab3.docx

參考資料: http://www3.stat.sinica.edu.tw/brain/RF1/RF1.html https://www.researchgate.net/figure/Functional-network-connectivity-FNC-and-classification-the-first-step-in-FNC-is-to_fig1_256542357 https://www.airitilibrary.com/Publication/alDetailedMesh?docid=P20160822001-201312-201608220034-201608220034-17-26 https://keras.io/zh/metrics/ https://www.kaggle.com/rohitsingh9990/trends-eda-visualization-simple-baseline

Lab2.

Herbarium 2020 - FGVC7

Identify plant species from herbarium specimens. Data from New York Botanical Garden.

Submission Format

For each image Id, you should predict the corresponding image label ("category_id") in the Predicted column. The submission file should have the following format:

Id,Predicted 0,0 1,27 2,42 ...

link: https://www.kaggle.com/c/herbarium-2020-fgvc7/overview/description

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Lab1.

House Prices: Advanced Regression Techniques:

-Predict sales prices and practice feature engineering, RFs, and gradient boosting

link: https://www.kaggle.com/c/house-prices-advanced-regression-techniques/notebooks

Step:

 1.導入數據觀察每個變量特徵的意義以及對於房價的重要程度
 2.篩選出主要影響房價的數值
 3.清洗和轉換數值
 4.測試和輸出數據

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