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文件夹
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Sentiment Analysis of IMDB Reviews
Document Clustering
Lyricizer
Sentiment Analysis of IMDB Reviews
Document Clustering
Lyricizer
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经验
Deep Learning Internship
12月 2017 - 1月 2018 (1 个月, 1 天)
Worked on many projects. First being context based sentiment analysis of tweets using RNN. Then worked on Sockpuppet accounts detection using Support Vector Machines. Finally worked on generating articles based on the tweets of the users.
Machine Learning Internship
5月 2017 - 7月 2017 (2 个月, 1 天)
Various models like K-Means Clustering and Hierarchical Clustering were applied for clustering documents into the various categories. Their architecture was understood and the performances of these models were analyzed. Convolution Neural Network was implemented for sentiment analysis on various datasets. Finally, Self Organizing Maps were implemented on the text data and research was done to improve the efficiency of this designed model. Word2Vec was used as an input to these models.
教育
B.Tech-Computer Science
(4 年)
资质
Data Wrangling using MongoDB
MongoDB University
2017
Worked on cleaning and preprocessing data before using it in the machine learning pipeline and storing it in MongoDB.
Using Python to Access Web Data
Michigan University on Coursera
2016
Completed the course with 99% score.
Introduction to Computer Science and Programming using Python
MIT on edX
2015
Completed the course with 78% score.
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