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Here are 10 approaches to implement adaptive noise reduction, ordered by complexity/effectiveness:
### 1. Enhanced Spectral Subtraction
- Track noise floor during silence periods
- Use overlappin…
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- [x] pennylane example
- [x] tensorflow + cirq classification example (exercise (maybe))
- [x] qiskit regression example (exercise)
- [ ] presentations
- [x] requirements (CPU/ GPU)
- [x] readme
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Have a view on basic Machine Learning algorithms like Naive Bais, Random Forest, SVM etc. Must gain knowledge on workflow of every algorithm. Need to give brief on algorithms within dead line i.e 21st…
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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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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Daily News Text Summarizer
:red_circle: **Aim** : Develop a system that automatically summarizes news a…
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Develop machine learning algorithms and models for tasks such as prediction, classification, or recommendation.
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## Is there an existing issue for this?
I have searched the existing issues
## Feature Description
These algorithms aim to predict multiple types of diseases simultaneously, including diabetes, he…
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Traceback (most recent call last):
File "/home/mandi/Downloads/Malware-detection-using-Machine-Learning-Algorithms-main/home_window.py", line 116, in scanMethod
pred=classify(0,self.file)
F…