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: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView DetailsProject Code: TCMAPY1659
Project Title:Trafic incidents detection using machine learning techniquesView DetailsProject 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 Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
2 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
3 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
4 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
5 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS | |
6 | TCMAPY1659 | Trafic incidents detection using machine learning techniques | |
7 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
8 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
9 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
10 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset |
Project Code: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView DetailsProject Code: TCMAPY1659
Project Title:Trafic incidents detection using machine learning techniquesView DetailsProject 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 Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
2 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
3 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
4 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
5 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS | |
6 | TCMAPY1659 | Trafic incidents detection using machine learning techniques | |
7 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
8 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
9 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
10 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset |
Project Code: TCMAPY1672
Project Title:Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting SystemView DetailsProject Code: TCMAPY1671
Project Title:Machine Learning in Ambient Assisted Living for Enhanced Elderly HealthcareView DetailsProject Code: TCMAPY1637
Project Title:Transfer Learning Based Ensemble Approach for Rainfall Class Amount PredictionView DetailsProject Code: TCMAPY1665
Project Title:MyYojana An ml based E-Governance Chabot hosted on AWSView DetailsProject Code: TCMAPY1659
Project Title:Trafic incidents detection using machine learning techniquesView DetailsProject 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 Details S.no | Project Code | Project Name | Action |
---|---|---|---|
1 | TCMAPY1672 | Intelligent Indoor Air Quality (IAQ) Monitoring and Forecasting System | |
2 | TCMAPY1671 | Machine Learning in Ambient Assisted Living for Enhanced Elderly Healt... | |
3 | TCMAPY1670 | Continuous Management of ML-Based Applications | |
4 | TCMAPY1637 | Transfer Learning Based Ensemble Approach for Rainfall Class Amount Pr... | |
5 | TCMAPY1665 | MyYojana An ml based E-Governance Chabot hosted on AWS | |
6 | TCMAPY1659 | Trafic incidents detection using machine learning techniques | |
7 | TCMAPY1608 | MultiStep Regression Classification for Employee Attrition Salary Es... | |
8 | TCMAPY1609 | Robust Network Intrusion Detection System Based on Machine-Learning wi... | |
9 | TCMAPY1611 | Sentiment Analysis for YouTube Comment using | |
10 | TCMAPY1621 | Lung Disease Detection and Classification using Spirometric Dataset |
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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