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  1. 从新浪财经、每经网、金融界、中国证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测

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  2. fine-tune models like ssd_mobilenet、faster_rcnn models in COCO dataset

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  3. 对通达信数据进行去重和清洗处理,并将数据存入MongoDB,方便往后研究

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  4. Utilize Mean-Shift to generate initial centroids for K-Means

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  5. Comparisons among AlexNet, VGG19, GoogLeLNet, ResNet and Inception ResNet in Dogs-VS-Cats dataset

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  6. 基于E-Chart以及PyQt5制作简易可视化小工具,以便灵活观察各种时间框架下期货行情走势

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28 contributions in the last year

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Contribution activity

November 2020

Opened 1 issue in 1 repository
isharah-project/Continuous-Sign-Language-Recognition
1 open

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