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IEEE Data Science ProjectsIEEE Data Science Projects 2019 Titles
1.Visual Analysis of Spatio-temporal Distribution and Retweet Relation in Weibo Event
2.Comments Mining With TF-IDF: The Inherent Bias and Its Removal
3.Discovering Program Topoi via Hierarchical Agglomerative Clustering
ieee papers on Data Science projects4.Diggit: Automated Code Review via Software Repository Mining
5.Sentence Vector Model Based on Implicit Word Vector Expression
6.Smart trailer: Automatic generation of movie trailer using only subtitles
7.Application of data mining methods in diabetes prediction
ieee projects using Data Science
IEEE Data Science 10 Algorithms
Data Science based ieee projects
Our Data Scientist Master’s Program will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures, tools and analytics, and many more. The courseware also covers a capstone project which encompasses all the key aspects from data extraction, cleaning, visualisation to model building and tuning. These skills will help you prepare for the role of a Data Scientist. The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist.
'Data science projects in R'
IEEE Projects on Data Science
Why be a Data Scientist? Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data scientist you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.
2018-2019 IEEE Projects on Data Science Contact: 9591912372