2018-2019 PYTHON IEEE PROJECT TITLES:
PYTHON DATA MINING PROJECT TITLES
Achieving Data Truthfulness and Privacy Preservation in Data Markets
PYTHON ARTIFICIAL INTELLIGENCE PROJECT TITLES
Collaborative Filtering-based Electricity Plan Recommender System
PYTHON MACHINE LEARNING PROJECT TITLES
CompetitiveBike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data
Detection of fake online reviews using semi-supervised and supervised learning
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine
Location Inference for Non-geotagged Tweets in User Timelines
Prediction of Heart Disease Using Machine Learning Algorithms
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
Sentiment Classification using N-gram IDF and Automated Machine Learning
Serendipity—A Machine-Learning Application for Mining Serendipitous Drug Usage from Social Media
Spammer Detection and Fake User Identification on Social Networks
Analysis and Prediction of Suicide Attempts
Road Accident Prediction Using Machine Learning
PYTHON DEEP LEARNING PROJECT TITLES
FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
Leveraging Product Characteristics for Online Collusive Detection in Big Data Transactions
Crop Yield Prediction and Efficient use of Fertilizers
