Data Science Projects for ME, MTech, Masters, MS abroad, and PhD students. These Data Science ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Data Science Projects
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Deep Learning based Efficient Edge Slicing for System Cost Minimization in Wireless Networks
This project focuses on making future wireless networks smarter and more efficient. It uses advanced computing at the network edge to manage resources and choose which users to serve. The system predicts network traffic and allocates resources in advance. Overall, it reduces costs while meeting the needs of different applications. -
A New Data Science Model With Supervised Learning and its Application on Pesticide Poisoning Diagnosis in Rural Workers
This project develops a new data science model called the Data Refinement Cycle with Supervised Machine Learning. It helps guide every stage of a data science project from data collection to training. The model was used to help doctors detect pesticide poisoning in rural workers using medical data. It achieved very high accuracy and improved healthcare decision-making in rural areas. -
Comparative Analysis of Predictive Algorithms for Performance Measurement
This project studies how computers can use past data to predict future outcomes more accurately. It compares many types of machine learning methods to find which ones work best for different kinds of data. The study shows that advanced models like ROBERTA, ResNet, Random Forest, and K-means give better results. This helps researchers choose the right algorithm for their prediction tasks.
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