Welcome to our website where you will find a selection of data science projects in Python that are perfect for students who want to learn data science. Our projects are designed to be both challenging and educational, providing students with a hands-on learning experience in data science.
Project Code: TCMAPY288
Project Title:Single Image Deraining Using Bilateral Recurrent NetworkView DetailsProject Code: TCMAPY39
Project Title:Plant Leaf Recognition Using A Convolution Neural NetworkView DetailsProject Code: TCREPY19_12
Project Title:A Review On Machine Learning Classification Techniques For Plant Disease DetectionMachine Learning| Artificial Intelligence
View DetailsProject Code: TCREPY19_36
Project Title:Glaucoma Detection Using Fundus Images Of The EyeMachine Learning| Artificial Intelligence
View DetailsProject Code: TCREPY19_82
Project Title:Emotion Recognition And Drowsiness Detection Using PythonMachine Learning| Artificial Intelligence
View DetailsProject Code: TCPGPY278
Project Title:Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep LearningView DetailsProject Code: TCREPY19_32
Project Title:Efficiently Mining Frequent Item Sets On Massive DataMachine Learning| Artificial Intelligence
View DetailsProject Code: TCREPY19_40
Project Title:Handwritten Character Recognition Using Deep-learningMachine Learning| Artificial Intelligence
View Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCMAPY288 | Single Image Deraining Using Bilateral Recurrent Network | |
| 2 | TCPGPY275 | Glaucoma Detection Using Fundus Images Of The Eye | |
| 3 | TCMAPY39 | Plant Leaf Recognition Using A Convolution Neural Network | |
| 4 | TCREPY19_12 | A Review On Machine Learning Classification Techniques For Plant Disea... | |
| 5 | TCREPY19_36 | Glaucoma Detection Using Fundus Images Of The Eye | |
| 6 | TCREPY19_82 | Emotion Recognition And Drowsiness Detection Using Python | |
| 7 | TCPGPY278 | Learning Affective Video Features for Facial Expression Recognition vi... | |
| 8 | TCREPY19_18 | A Survey Of Location Prediction On Twitter | |
| 9 | TCREPY19_32 | Efficiently Mining Frequent Item Sets On Massive Data | |
| 10 | TCREPY19_40 | Handwritten Character Recognition Using Deep-learning |
Each project comes with step-by-step instructions and well-commented source code that students can use as a starting point for their own data science projects in python. Takeoff Edu Group projects are designed to teach students how to use Python and its libraries, such as NumPy, Pandas, and Matplotlib, to perform data analysis and visualization.
Whether you are new to data science or already have some experience, these data science projects in python will help you develop a deeper understanding of data science concepts and techniques, and give you the confidence to tackle more complex data science problems.
Are You Looking for Data Science Projects in Python & Assistance?
We are always updating our collection with new data science projects in python, so make sure to check back often for updates. Our goal is to provide students with the resources they need to succeed in their data science journey.
Start your data science journey today by exploring our collection of data science projects in Python. Whether you're a beginner or an experienced data scientist, these projects will help you grow as a data scientist and give you a strong foundation for further learning and development.
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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.
