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π± "I'm currently learning about deep learning and neural networks." Interested in studying advanced techniques for building and training neural networks, including topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
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π― Iβm looking to collaborate on a project that involves leveraging big data technologies to process and analyze large-scale datasets.
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π€ Iβm looking for help with deploying Artificial intelligence models in production
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π¨βπ» Check my Portfolio at Debanshu.me
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π¬ Ask me about Machine learning algorithms and their applications.
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π« How to reach me talkto.debanshu@gmail.com
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π Know about my experiences MyResume
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β‘ Fun fact Did you know that the term "data science" was first coined in 2001 by William S. Cleveland, a prominent statistician? He used the term to describe the interdisciplinary field that combines statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data. Since then, data science has evolved rapidly and become an integral part of various industries, revolutionizing how we make decisions and solve complex problems using data-driven approaches.
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BITS Pilani
- Goa
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02:43
(UTC +05:30) - https://debanshu.me/
- in/debanshu-das-b67390187
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Portfolio_Website-
Portfolio_Website- PublicThis is my personal portfolio website built using Next.js. It showcases information about me, my career timeline, and my knowledge and field of interest. The portfolio, is designed to provide an ovβ¦
JavaScript 1
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Deep-Learning-Backpropagation
Deep-Learning-Backpropagation PublicBackpropagation is a widely used algorithm for training feedforward neural networks. It computes the gradient of the loss function with respect to the network weights. It is very efficient, rather β¦
Jupyter Notebook
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NLP_Regular-expressions-and-language-modelling
NLP_Regular-expressions-and-language-modelling PublicRegular Expressions are useful for numerous tasks that a data scientist encounters. It is one of the key concepts of Natural Language Processing. And, Language models analyze bodies of text data toβ¦
Jupyter Notebook
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Epidemic-Modelling
Epidemic-Modelling PublicEpidemic models based on ordinary differential equations (ODEs), which effectively describe dynamic systems in many fields, have been employed. However, a single epidemic model is not enough to capβ¦
Jupyter Notebook
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Deep-Learning_RCNN
Deep-Learning_RCNN PublicWe tested the dataset using two popular object detection algorithms, YOLOv7 and Faster R-CNN. My first finding indicate that the used dataset has the potential to be an important data source and beβ¦
Jupyter Notebook
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Thesis-Rumor-detection-using-Deep-learning-techniques.-
Thesis-Rumor-detection-using-Deep-learning-techniques.- PublicThis project illustrates pure deep learning techniques and applied to small real-world dataset. Primarily, We have used CNN and LSTM network on the respective datasets to detect rumors.
Jupyter Notebook 2
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