Best Machine Learning Projects
Machine learning projects are made easy with Takeoff Projects – a leading project provider for engineering students. We offer hands-on support and ready-to-use kits to help students build smart and practical solutions. From machine learning (ML) and AI to IoT and data science, Takeoff guide you at every single step. With Takeoff Projects, turning ideas into real, working projects becomes simple and effective.
Project Code: TCMAPY1608
Project Title:MultiStep Regression Classification for Employee Attrition Salary EstimationView DetailsProject Code: TCMAPY1609
Project Title:Robust Network Intrusion Detection System Based on Machine-Learning with Early ClassificationView DetailsProject Code: TCMAPY1621
Project Title:Lung Disease Detection and Classification using Spirometric DatasetView DetailsProject Code: TCMAPY1540
Project Title:5G Coverage Prediction Identification of Dominant Feature Parameters and Prediction AccuracyView DetailsProject Code: TCMAPY1538
Project Title:software application for ground water level predictorView DetailsProject Code: TCMAPY1537
Project Title:Achine Learning Based Assessment of Mental Stress using Wearable Sensor Data with genetic algorithmView DetailsProject Code: TCMAPY1536
Project Title:You Are What You Buy Personal Information Extraction From Anonymized Data.View Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
| 2 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
| 3 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
| 4 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset | |
| 5 | TCMAPY1614 | CONVERSATIONAL AI for FARMERS | |
| 6 | TCMAPY1542 | health care chatbot | |
| 7 | TCMAPY1540 | 5G Coverage Prediction Identification of Dominant Feature Parameters a... | |
| 8 | TCMAPY1538 | software application for ground water level predictor | |
| 9 | TCMAPY1537 | Achine Learning Based Assessment of Mental Stress using Wearable Senso... | |
| 10 | TCMAPY1536 | You Are What You Buy Personal Information Extraction From Anonymized D... |
Project Code: TCMAPY1608
Project Title:MultiStep Regression Classification for Employee Attrition Salary EstimationView DetailsProject Code: TCMAPY1609
Project Title:Robust Network Intrusion Detection System Based on Machine-Learning with Early ClassificationView DetailsProject Code: TCMAPY1621
Project Title:Lung Disease Detection and Classification using Spirometric DatasetView DetailsProject Code: TCMAPY1540
Project Title:5G Coverage Prediction Identification of Dominant Feature Parameters and Prediction AccuracyView DetailsProject Code: TCMAPY1538
Project Title:software application for ground water level predictorView DetailsProject Code: TCMAPY1537
Project Title:Achine Learning Based Assessment of Mental Stress using Wearable Sensor Data with genetic algorithmView DetailsProject Code: TCMAPY1536
Project Title:You Are What You Buy Personal Information Extraction From Anonymized Data.View Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
| 2 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
| 3 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
| 4 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset | |
| 5 | TCMAPY1614 | CONVERSATIONAL AI for FARMERS | |
| 6 | TCMAPY1542 | health care chatbot | |
| 7 | TCMAPY1540 | 5G Coverage Prediction Identification of Dominant Feature Parameters a... | |
| 8 | TCMAPY1538 | software application for ground water level predictor | |
| 9 | TCMAPY1537 | Achine Learning Based Assessment of Mental Stress using Wearable Senso... | |
| 10 | TCMAPY1536 | You Are What You Buy Personal Information Extraction From Anonymized D... |
Project Code: TCMAPY1608
Project Title:MultiStep Regression Classification for Employee Attrition Salary EstimationView DetailsProject Code: TCMAPY1609
Project Title:Robust Network Intrusion Detection System Based on Machine-Learning with Early ClassificationView DetailsProject Code: TCMAPY1621
Project Title:Lung Disease Detection and Classification using Spirometric DatasetView DetailsProject Code: TCMAPY1540
Project Title:5G Coverage Prediction Identification of Dominant Feature Parameters and Prediction AccuracyView DetailsProject Code: TCMAPY1538
Project Title:software application for ground water level predictorView DetailsProject Code: TCMAPY1537
Project Title:Achine Learning Based Assessment of Mental Stress using Wearable Sensor Data with genetic algorithmView DetailsProject Code: TCMAPY1536
Project Title:You Are What You Buy Personal Information Extraction From Anonymized Data.View Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
| 2 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
| 3 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
| 4 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset | |
| 5 | TCMAPY1614 | CONVERSATIONAL AI for FARMERS | |
| 6 | TCMAPY1542 | health care chatbot | |
| 7 | TCMAPY1540 | 5G Coverage Prediction Identification of Dominant Feature Parameters a... | |
| 8 | TCMAPY1538 | software application for ground water level predictor | |
| 9 | TCMAPY1537 | Achine Learning Based Assessment of Mental Stress using Wearable Senso... | |
| 10 | TCMAPY1536 | You Are What You Buy Personal Information Extraction From Anonymized D... |
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At Takeoff Edu Group, we offer hands-on machine learning projects for students to develop their skills and gain practical experience in the field of Machine Learning. Our projects are designed to challenge students and help them build a strong foundation in the subject.
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
