Paper PublishingHere, you will find a collection of machine learning projects with source code that focus on various aspects of machine learning. Our projects are designed to give students hands-on experience and a deeper understanding of this exciting field.
Our machine learning projects with source code cover a wide range of topics, including image recognition, natural language processing, and recommendation systems. Each project includes the source code, a detailed description, and step-by-step instructions.
Project Code: TCPGPY439
Project Title:Machine Learning Model For Prediction of Smartphone AddictionView DetailsProject Code: TCPGPY438
Project Title:Medical Insurance Premium Prediction with Machine LearningView DetailsProject Code: TCPGPY437
Project Title:Analysis and Prediction of Crime Hotspots using Machine Learning with Stacked Generalization ApproachView DetailsProject Code: TCPGPY436
Project Title:Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Machine Learning ApproachView DetailsProject Code: TCPGPY435
Project Title:Resampling Techniques for Enhanced Network Slice Classification in 5G Networks a SMOTE -Tomek PerspectiveView DetailsProject Code: TCPGPY434
Project Title:Machine Learning in Planetary Defense Early Warning Systems For Hazardous AsteroidsView DetailsProject Code: TCPGPY433
Project Title:Web Based Book Recommendation System using Collaborative FilteringView DetailsProject Code: TCPGPY432
Project Title:Theoretical Evaluation of Machine Learning Approaches For Hotel RecommendationView DetailsProject Code: TCPGPY430
Project Title:Safe Trade a Stock Recommender using Machine Learning AlgorithmsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCPGPY439 | Machine Learning Model For Prediction of Smartphone Addiction | |
| 2 | TCPGPY438 | Medical Insurance Premium Prediction with Machine Learning | |
| 3 | TCPGPY437 | Analysis and Prediction of Crime Hotspots using Machine Learning with ... | |
| 4 | TCPGPY436 | Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Ma... | |
| 5 | TCPGPY435 | Resampling Techniques for Enhanced Network Slice Classification in 5G ... | |
| 6 | TCPGPY434 | Machine Learning in Planetary Defense Early Warning Systems For Hazard... | |
| 7 | TCPGPY433 | Web Based Book Recommendation System using Collaborative Filtering | |
| 8 | TCPGPY432 | Theoretical Evaluation of Machine Learning Approaches For Hotel Recomm... | |
| 9 | TCPGPY431 | Scientific Paper Recommendation system | |
| 10 | TCPGPY430 | Safe Trade a Stock Recommender using Machine Learning Algorithms |
Project Code: TCPGPY439
Project Title:Machine Learning Model For Prediction of Smartphone AddictionView DetailsProject Code: TCPGPY438
Project Title:Medical Insurance Premium Prediction with Machine LearningView DetailsProject Code: TCPGPY437
Project Title:Analysis and Prediction of Crime Hotspots using Machine Learning with Stacked Generalization ApproachView DetailsProject Code: TCPGPY436
Project Title:Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Machine Learning ApproachView DetailsProject Code: TCPGPY435
Project Title:Resampling Techniques for Enhanced Network Slice Classification in 5G Networks a SMOTE -Tomek PerspectiveView DetailsProject Code: TCPGPY434
Project Title:Machine Learning in Planetary Defense Early Warning Systems For Hazardous AsteroidsView DetailsProject Code: TCPGPY433
Project Title:Web Based Book Recommendation System using Collaborative FilteringView DetailsProject Code: TCPGPY432
Project Title:Theoretical Evaluation of Machine Learning Approaches For Hotel RecommendationView DetailsProject Code: TCPGPY430
Project Title:Safe Trade a Stock Recommender using Machine Learning AlgorithmsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCPGPY439 | Machine Learning Model For Prediction of Smartphone Addiction | |
| 2 | TCPGPY438 | Medical Insurance Premium Prediction with Machine Learning | |
| 3 | TCPGPY437 | Analysis and Prediction of Crime Hotspots using Machine Learning with ... | |
| 4 | TCPGPY436 | Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Ma... | |
| 5 | TCPGPY435 | Resampling Techniques for Enhanced Network Slice Classification in 5G ... | |
| 6 | TCPGPY434 | Machine Learning in Planetary Defense Early Warning Systems For Hazard... | |
| 7 | TCPGPY433 | Web Based Book Recommendation System using Collaborative Filtering | |
| 8 | TCPGPY432 | Theoretical Evaluation of Machine Learning Approaches For Hotel Recomm... | |
| 9 | TCPGPY431 | Scientific Paper Recommendation system | |
| 10 | TCPGPY430 | Safe Trade a Stock Recommender using Machine Learning Algorithms |
Project Code: TCPGPY439
Project Title:Machine Learning Model For Prediction of Smartphone AddictionView DetailsProject Code: TCPGPY438
Project Title:Medical Insurance Premium Prediction with Machine LearningView DetailsProject Code: TCPGPY437
Project Title:Analysis and Prediction of Crime Hotspots using Machine Learning with Stacked Generalization ApproachView DetailsProject Code: TCPGPY436
Project Title:Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Machine Learning ApproachView DetailsProject Code: TCPGPY435
Project Title:Resampling Techniques for Enhanced Network Slice Classification in 5G Networks a SMOTE -Tomek PerspectiveView DetailsProject Code: TCPGPY434
Project Title:Machine Learning in Planetary Defense Early Warning Systems For Hazardous AsteroidsView DetailsProject Code: TCPGPY433
Project Title:Web Based Book Recommendation System using Collaborative FilteringView DetailsProject Code: TCPGPY432
Project Title:Theoretical Evaluation of Machine Learning Approaches For Hotel RecommendationView DetailsProject Code: TCPGPY430
Project Title:Safe Trade a Stock Recommender using Machine Learning AlgorithmsView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCPGPY439 | Machine Learning Model For Prediction of Smartphone Addiction | |
| 2 | TCPGPY438 | Medical Insurance Premium Prediction with Machine Learning | |
| 3 | TCPGPY437 | Analysis and Prediction of Crime Hotspots using Machine Learning with ... | |
| 4 | TCPGPY436 | Mosquito Species Classification Through Wingbeat Analysis: A Hybrid Ma... | |
| 5 | TCPGPY435 | Resampling Techniques for Enhanced Network Slice Classification in 5G ... | |
| 6 | TCPGPY434 | Machine Learning in Planetary Defense Early Warning Systems For Hazard... | |
| 7 | TCPGPY433 | Web Based Book Recommendation System using Collaborative Filtering | |
| 8 | TCPGPY432 | Theoretical Evaluation of Machine Learning Approaches For Hotel Recomm... | |
| 9 | TCPGPY431 | Scientific Paper Recommendation system | |
| 10 | TCPGPY430 | Safe Trade a Stock Recommender using Machine Learning Algorithms |
Our machine learning projects with source code are ideal for students who are studying computer science, artificial intelligence, or a related field. With these projects, you will have the opportunity to:
Explore and understand the latest developments in machine learning
Develop programming skills and familiarity with popular machine learning frameworks
Apply theoretical concepts to real-world applications
Gain hands-on experience with various aspects of machine learning
Are You Looking for Machine Learning Projects with Source Code & Support?
In addition, our projects are also perfect for professionals who are looking to upgrade their skills and stay up-to-date with the latest technology.
So why wait? Start exploring our machine learning projects with source code today and take your understanding of this exciting field to the next level!
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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, and not projects of or by IEEE.
