Are you looking for Data Mining Projects in Python?
Then Takeoff Edu Group is the perfect place for all your projects needs, where you will find a collection of data mining projects in Python that are perfect for students who want to learn data mining. Takeoff Edu Group projects are designed to be both challenging and educational, providing students with a hands-on learning experience in data mining.
Project Code: TCPGPY2044
Project Title:Meditation Toxicity Forcasting Using Deep LearningView DetailsProject Code: TCPGPY2055
Project Title:A Dynamic Selection Hybrid Model for Advancing Thyroid Care with BOOST Balancing Method.View DetailsProject Code: TCPGPY2054
Project Title:Hybrid Machine Learning Model for Efficient Botnet Attack Detection in Iot Environment.View DetailsProject Code: TCPGPY2053
Project Title:Weather Forecasting Using Long Short-Term Memory (Lstm) Neural Networks.View DetailsProject Code: TCPGPY2052
Project Title:Deep Ensemble Learning with Pruning for DDoS Attack Detection in IoT NetworksView DetailsProject Code: TCPGPY2051
Project Title:Predicting Hospital Stay Length Using Explainable Machine LearningView DetailsProject Code: TCPGPY2050
Project Title:Applying Machine Learning Algorithms For The Classification Of Sleep DisordersView DetailsProject Code: TCPGPY2049
Project Title:Alumni Network an Academic Portal using Machine LearningView DetailsProject Code: TCPGPY2048
Project Title:Bitcoin Address Behavior Dataset for Pattern AnalysisView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCPGPY2044 | Meditation Toxicity Forcasting Using Deep Learning | |
| 2 | TCPGPY2056 | Stock Price Forecasting Using LSTM And GRU | |
| 3 | TCPGPY2055 | A Dynamic Selection Hybrid Model for Advancing Thyroid Care with BOOST... | |
| 4 | TCPGPY2054 | Hybrid Machine Learning Model for Efficient Botnet Attack Detection in... | |
| 5 | TCPGPY2053 | Weather Forecasting Using Long Short-Term Memory (Lstm) Neural Network... | |
| 6 | TCPGPY2052 | Deep Ensemble Learning with Pruning for DDoS Attack Detection in IoT N... | |
| 7 | TCPGPY2051 | Predicting Hospital Stay Length Using Explainable Machine Learning | |
| 8 | TCPGPY2050 | Applying Machine Learning Algorithms For The Classification Of Sleep D... | |
| 9 | TCPGPY2049 | Alumni Network an Academic Portal using Machine Learning | |
| 10 | TCPGPY2048 | Bitcoin Address Behavior Dataset for Pattern Analysis |
Project Code: TCPGPY2044
Project Title:Meditation Toxicity Forcasting Using Deep LearningView DetailsProject Code: TCPGPY2055
Project Title:A Dynamic Selection Hybrid Model for Advancing Thyroid Care with BOOST Balancing Method.View DetailsProject Code: TCPGPY2054
Project Title:Hybrid Machine Learning Model for Efficient Botnet Attack Detection in Iot Environment.View DetailsProject Code: TCPGPY2053
Project Title:Weather Forecasting Using Long Short-Term Memory (Lstm) Neural Networks.View DetailsProject Code: TCPGPY2052
Project Title:Deep Ensemble Learning with Pruning for DDoS Attack Detection in IoT NetworksView DetailsProject Code: TCPGPY2051
Project Title:Predicting Hospital Stay Length Using Explainable Machine LearningView DetailsProject Code: TCPGPY2050
Project Title:Applying Machine Learning Algorithms For The Classification Of Sleep DisordersView DetailsProject Code: TCPGPY2049
Project Title:Alumni Network an Academic Portal using Machine LearningView DetailsProject Code: TCPGPY2048
Project Title:Bitcoin Address Behavior Dataset for Pattern AnalysisView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TCPGPY2044 | Meditation Toxicity Forcasting Using Deep Learning | |
| 2 | TCPGPY2056 | Stock Price Forecasting Using LSTM And GRU | |
| 3 | TCPGPY2055 | A Dynamic Selection Hybrid Model for Advancing Thyroid Care with BOOST... | |
| 4 | TCPGPY2054 | Hybrid Machine Learning Model for Efficient Botnet Attack Detection in... | |
| 5 | TCPGPY2053 | Weather Forecasting Using Long Short-Term Memory (Lstm) Neural Network... | |
| 6 | TCPGPY2052 | Deep Ensemble Learning with Pruning for DDoS Attack Detection in IoT N... | |
| 7 | TCPGPY2051 | Predicting Hospital Stay Length Using Explainable Machine Learning | |
| 8 | TCPGPY2050 | Applying Machine Learning Algorithms For The Classification Of Sleep D... | |
| 9 | TCPGPY2049 | Alumni Network an Academic Portal using Machine Learning | |
| 10 | TCPGPY2048 | Bitcoin Address Behavior Dataset for Pattern Analysis |
Takeoff projects come with step-by-step instructions and well-commented source code that students can use as a starting point for their own data mining projects in Python. Our projects are designed to teach students how to use Python and its libraries, such as NumPy, Pandas, and Matplotlib, to perform data pre-processing, feature extraction, and modeling.
If you are new to data mining or already have some experience, our data mining projects in Python will help you develop a deeper understanding of data mining concepts and techniques, and give you the confidence to tackle more complex data mining problems.
Our goal is to provide students with the resources they need to succeed in their data mining projects in Python journey.
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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.
