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**Objective:**
The primary goal of this project is to develop a robust system for detecting cyber attacks using advanced machine learning techniques, including Logistic Regression, Multilayer Percep…
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** types. of algorithms.
1. Linear discriminant analysis
2. Regression
3. Naive Bayes
4. Support vector machines
5. Classification and regression trees
6. Random forests
7. Boosting
etc.
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Credit card fraud is a significant issue that affects both consumers and financial institu…
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The Binary Trading AI Bot project aims to develop an AI-powered bot for binary trading, leveraging machine learning algorithms to predict market movements. To enhance the bot's predictive capabilities…
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**Description**
This project aims to develop a machine learning-based system for emotion recognition from speech. It involves preprocessing and analyzing audio datasets, implementing emotion detectio…
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This issue focuses on the implementation of data visualization techniques to analyze and compare the performance of the machine learning algorithms recently added to our project. Visualizations will h…
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objective: Personality prediction system using machine learning (ML) is to accurately infer individuals' personality traits based on various data inputs, such as social media activity, text analysis, …
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The project aims to check the authenticity of signatures of users. The users will have a dashboard to register, and upload their signatures, in background, Dynamic Time Wrapping algorithms is used beh…
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Overall, I think this project is very interesting as it incorporates machine learning algorithms. This could be very useful in the context of teaching algorithms in machine learning in a much more int…
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Project Title : Heart Disease Prediction using Machine Learning(DL)
Aim: Compare neural network and random forest algorithms to determine the best model for heart disease prediction using accuracy …