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IEEE Scikit-learn Projects at MTech Projects feature the latest project topics with Abstract, Source Code, Thesis, Report, Documentation, Research Paper Writing, Presentation ppt, Video demo, and Expert guidance for BTech, MTech, BE, ME, MS and PhD students. We support engineering students and researchers across Hyderabad, Bengaluru, Chennai, Mumbai, Delhi, Pune, Kolkata, Ahmedabad, Kochi and other major cities in India, USA, UK.

Latest Scikit-learn IEEE Project Titles [2026]

S.No Project Title Abstract
1 Using Doppler Motion-Sensing Radar, a Supervised Machine Learning Algorithm for Heart Rate Detection Abstract
2 A Machine Learning Approach for Smart Waste Management Systems that is Automated Abstract
3 Intrusion Detection Systems: An Explainable Machine Learning Framework Abstract
4 Data Mining and Classification Algorithms for Mental Health Prediction Abstract
5 Machine Learning Algorithms for Classification of Online Toxic Comments Abstract
6 Using Machine Learning Techniques to Compare Different Resampling Methods in Predicting Student Performance Abstract
7 In Developing Countries, Computer-Aided Diagnosis of Chronic Kidney Disease A Study of Machine Learning Techniques in Comparison Abstract
8 Sentiment Classification with a Context-Aware Sliding Window Abstract
9 Leaf Vein Morphometrics and Deep Learning for Plant Species Classification Abstract
10 Detection of Malicious Social Bots Using Learning Automata With URL Features in Twitter Network Abstract
11 Prediction of Diabetes Using a Combination of Machine Learning Classifiers Abstract
12 Using the Sparse Balanced Support Vector Machine to find Type 2 Diabetes in Electronic Health Records Abstract
13 Detection of Disease Clusters and Functional Characterization Abstract
14 Prediction of Rainfall Using Machine Learning Abstract
15 A Non-invasive Sensing-Based Machine Learning Approach to Assessing the Quality of Fresh Fruits Abstract
16 Personalization of Human Activity Recognition Classification Models Abstract
17 Based on Voice Disorder, KNN and ANN Algorithms are used to identify Parkinson's disease. Abstract
18 Using binary classifiers, predict the quality of overnight glycemic control in Type 1 diabetes. Abstract
19 Scratch and Recommender Systems A multi-pronged approach to improving computer programming skills Abstract
20 When Recommending TV Content, Context is Critical Dataset and Algorithms Abstract

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