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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
21 Semi-supervised classification is used to recognise traffic signs by combining global and local features. Abstract
22 Feature Engineering-Based Unsupervised Detection of Abnormal Electricity Consumption Behavior Abstract
23 Improving Imbalanced Classification Performance with Cost-Sensitive Learning and Feature Selection Algorithms Abstract
24 Detecting Social Bots on Twitter with Improved Conditional Generative Adversarial Networks Abstract
25 In Sparse Representation, a General Approach for Achieving Supervised Subspace Learning Abstract
26 A Machine Learning Approach to Detecting Falls and Recognizing Daily Living Activities Abstract
27 A Machine Learning Framework for Malware Detection Using Domain Generation Algorithms (DGA) Abstract
28 A Two-Stage Model for Predicting the Lengths of Stay of Surgical Patients Using an Electronic Patient Database Abstract
29 Machine Learning for Detection of Acute Respiratory Distress Syndrome with Label Uncertainty Accounting Abstract
30 Imbalanced Data: Active Learning An Online Weighted Extreme Learning Machine Solution Abstract
31 Based on method-level behavioural semantic analysis, an effective Android malware detection system has been developed. Abstract
32 Machine-Learning Approaches to Estimate Sleep Apnea Severity From At-Home Oximetry Recordings are being evaluated. Abstract
33 MPED is a Multi-Modal Physiological Emotion Database that can be used to recognise discrete emotions. Abstract
34 OFS-NN is a Phishing Website Detection Model that uses Optimal Feature Selection and Neural Networks. Abstract
35 Sparse Supervised Learning with an Online ADMM-based Extreme Learning Machine Abstract
36 Wearable Sensor Data Outlier Detection for Human Activity Recognition (HAR) Using DRNNs Abstract
37 Unsupervised Multi-view Feature Learning with a Dynamic Graph that is Robust Abstract
38 Deep Fuzzy C-Mean Clustering with Semi-Supervised Clustering for Imbalanced Multi-Class Classification Abstract
39 Machine Learning in Higher Education Institutions for Strategic Decision Making Abstract
40 Personalized Ranking-Based Recommendation with Privacy-Preserving Social Media Data Publishing Abstract

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