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Ernst & Young
- MENA Region
- in/syed-muzammil-ahmed-rizvi-a29b69118
Popular repositories Loading
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QA-chatbot-app-using-LLMs-PineCone-and-LangChain
QA-chatbot-app-using-LLMs-PineCone-and-LangChain PublicIn this project, we are creating a question answer chat bot which will take any document, research paper, book or article as input and will answer any question related to that document. For this pu…
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TimeSeries_Generation_Using_Generative_Models
TimeSeries_Generation_Using_Generative_Models PublicIn this project, we are discussing the results we have obtained after generating timeseries data with our model DDPM (Denoising Diffusion Probabilistic Models) and other benchmarks such as Time GAN…
Jupyter Notebook 3
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Covid19-Prediction-Using-Machine-Learning
Covid19-Prediction-Using-Machine-Learning PublicThis project is a binary class classification problem where our target variable “corona result” is having only two classes which are negative and positive. Our goal is to build a robust and accurat…
Jupyter Notebook 1
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Stock-Price-Prediction-using-LSTM
Stock-Price-Prediction-using-LSTM PublicA timeseries dataset of Apple Inc. stock prices will be used in this project to develop a predictive model using LSTM, a type of recurrent neural network (RNN). Due to the complexity and volatility…
Jupyter Notebook 1
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Data-Generation-Using-GANS
Data-Generation-Using-GANS PublicIn this project, we will discuss how to implement and generate tabular data using tabular GAN and CGAN. We will also discuss the changes that occur in results after using data generated from differ…
Jupyter Notebook 1
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Sentiment-Analysis-on-Customer-Reviews-and-Lexicon-Approach
Sentiment-Analysis-on-Customer-Reviews-and-Lexicon-Approach PublicIn this project our aim is to classify customer reviews using Machine Learning and creating label using lexicon based approach.
Jupyter Notebook 1
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