F21-STAT 441/841 CM 763-Proposal

Use this format (Don’t remove Project 0)

Project # 0 Group members:

Last name, First name

Last name, First name

Last name, First name

Last name, First name

Title: Making a String Telephone

Description: We use paper cups to make a string phone and talk with friends while learning about sound waves with this science project. (Explain your project in one or two paragraphs).

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Project # 1 Group members:

Feng, Jared

Huang, Xipeng

Xu, Mingwei

Yu, Tingzhou

Title:

Description:

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Project # 2 Group members:

Anderson, Eric

Wang, Chengzhi

Zhong, Kai

Zhou, Yi Jing

Title: Application of Neural Networks

Description: Using neural networks to determine content/intent of emails.

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Project # 3 Group members:

Chopra, Kanika

Rajcoomar, Yush

Title: Classification

Description: We will be working on the alternate project that the Professor will release on Sunday

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Project # 4 Group members:

Zhang, Bowen

Li, Shaozhong

Kerr, Hannah

Wong, Ann gie

Title: Classification

Description: TBD

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Project # 5 Group members:

Chin, Jessie Man Wai

Ooi, Yi Lin

Shi, Yaqi

Ngew, Shwen Lyng

Title: TBD

Description: TBD

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Project # 6 Group members:

Wang, Carolyn

Cyrenne, Ethan

Nguyen, Dieu Hoa

Sin, Mary Jane

Title: TBD

Description: TBD

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Project # 7 Group members:

Bhattacharya, Vaibhav

Chatoor, Amanda

Prathap Das, Sutej

Title: PetFinder.my - Pawpularity Contest [1]

Description: In this competition, we will analyze raw images and metadata to predict the “Pawpularity” of pet photos. We'll train and test our model on PetFinder.my's thousands of pet profiles.

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Project # 8 Group members:

Xu, Siming

Yan, Xin

Duan, Yishu

Di, Xibei

Title: TBD

Description: TBD

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Project # 9 Group members:

Loke, Chun Waan

Chong, Peter

Osmond, Clarice

Li, Zhilong

Title: TBD

Description: TBD

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Project # 10 Group members:

O'Farrell, Ethan

D'Astous, Justin

Hamed, Waqas

Vladusic, Stefan

Title: Pawpularity (Kaggle)

Description: Predicting the popularity of animal photos based on photo metadata

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Project # 11 Group members:

JunBin, Pan

Title: TBD

Description: TBD

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Project # 12 Group members:

Kar Lok, Ng

Muhan (Iris), Li

Wu, Mingze

Title: NFL Health & Safety - Helmet Assignment competition (Kaggle Competition)

Description: Assigning players to the helmet in a given footage of head collision in football play.

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Project # 13 Group members:

Livochka, Anastasiia

Wong, Cassandra

Evans, David

Yalsavar, Maryam

Title: TBD

Description: TBD

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Project # 14 Group Members:

Syamala, Aavinash Reddy

Zhu, Jigang

Title: TBD

Description: TBD

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Project # 15 Group Members:

Zeng, Mingde

Lin, Xiaoyu

Fan, Joshua

Rao, Chen Min

Title: TBD

Description: TBD

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Project # 16 Group Members:

Huang, Yuying

Anugu, Ankitha

Dave, Meet Hemang

Chen, Yushan

Title: TBD

Description: TBD

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Project # 17 Group Members:

Wang, Lingshan

Liu, Ziyi

Zheng, Hanxi

Li, Yifan

Title: Implement and Improve CNN in Multi-Class Text Classification

Description: We are going to apply Convolutional Neural Network (CNN) to classify real-world data (application to build an efficient insurance contract classifier) and improve CNN algorithm-wise in the context of text classification, being supported with real-world data set. With the implementation of CNN, it allows us to further analyze the efficiency and practicality of the algorithm. The dataset is composed of insurance contracts containing client and policy information. We will implement a multi-class classification to break down the information contained in each insurance contract into some pre-determined subcategories (eg, short-term renewable/long-term non-renewable). We will attempt to process the complicated data into several data types(e.g. JSON, pandas data frames, etc.) and choose the most efficient raw data processing logic based on runtime and algorithm optimization.